Jobs /

Looking for a job in AI

Filter By /

Employers

Post a job

Find your next talent

  • Data Scientist 11 Aug 2021

    Multiple Locations United States

    001 calendar 11 Jul 2021 Full-time

    Down arrow white

    The Role:

    The Emerging Technology Data Science Team within Asset Management Technology is seeking a highly motivated and technical data scientist passionate about the application of new technologies. This individual will collaborate with other data scientists to prototype, learn, and ultimately deliver solutions utilizing techniques such as machine learning, artificial intelligence and big data analytics.

    The role will be available in Raleigh, NC; Boston, MA; Merrimack, NH; Westlake, TX; or Denver, CO.

    The Expertise And Skills You Bring:

    • Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.

    • Sophisticated knowledge in model evaluation, tuning and performance, operationalization and scalability of scientific techniques and establishing decision strategies.

    • Proven experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc)

    • Experience in evaluating and making decisions around the use of new or existing tools for a project.

    • Experience in projects involving large scale-multi dimensional databases, business infrastructure, and cross-functional teams.

    • Programming skills in Python, Spark, Scala, R, SQL, or Matlab. An ability to translate sophisticated topics to non-technical audiences.

    • Skills in algorithm development and predictive modeling. Deep knowledge of some combination of the following: Natural Language Processing (NLP), Deep Learning, Neural Networks Reinforcement Learning, Time series analysis.

    The Team:

    The Emerging Technology team is on the frontier of Asset Management Technology and delivers innovative, scalable, industry-leading investment tools that enable Asset Management to achieve a global advantage. Our work in this truly groundbreaking initiative will provide a major contribution to Asset Management’s investment performance and scale and efficiency objectives.

    Apply now
  • Data Scientist 11 Aug 2021

    Bellevue, Washington United States

    001 calendar 11 Jul 2021 Full-time

    Down arrow white

    SAP Labs, LLC. seeks a Data Scientist at our Bellevue, WA location responsible to work in customer projects, execute the mathematical modeling of our customers’ business problems, develops algorithms, data mining flows and applications to solve these problems, and help customers directly to understand and implement the results of the analysis.

    Expectations and Tasks:

    • Work directly with industry experts and technology experts to translate our customers’ business needs into mathematical models and present and deliver a solution to the client.

    • Work in development integrates or implements data mining/mathematical methods into products.

    • Responsible for evaluating and testing data mining methods and maintain a high level of quality.

    • Work closely with the senior data scientist to prototype new innovations and eventually get them into the product.

    • Contribute to data definitions, data storage infrastructure for data mining purposes and to Data Mining architectures.

    • Resolve data mining performance issues and monitors data mining system performance and implement efficiency improvements. Implement data mining algorithms.

    • Work closely with product management, application developers, information developers and end users.

    • Work in research projects performs functional and empirical analysis on data mining topics. Conduct research on data mining tools and algorithms, implement prototypes and data mining algorithms and validate them on real data.

    • Contribute to best practices for data mining topics and collaborates with development, universities and research institutes.

    Education and Qualifications/Skills and Competencies:

    • Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field of study and 5 years of experience required. The company will also accept a Master's degree and 3 years of experience.

    Work Experience:

    • Experience must involve 3 years in the following: Statistics; Data Science; Python; R; Data Analytics; Machine Learning; and Data Quality Best Practices.
    Apply now
  • Data Scientist 11 Aug 2021

    Sunnyvale, California United States

    001 calendar 11 Jul 2021 Full-time

    Down arrow white

    What You'll Do:

    • Analytical Modeling - Feature relevance and selection. Exploratory data analysis methods and techniques. Advanced statistical methods and best- practice advanced modelling techniques (e.g., graphical models, Bayesian inference, basic level of NLP, Vision, neural networks, SVM, Random Forest etc.). Programming languages like R/Python.

    • Model Assessment & Validation - Model fit testing, tuning, and validation techniques (e.g., Chi square, ROC curve, root mean square error etc.). Impact of variables and features on model performance.

    • Model Deployment & Scaling - Impact of variables and features on model performance. Understanding of servers, model formats to store models.

    • Data Visualization: Generates appropriate graphical representations of data and model outcomes under guidance. Supports the understanding of customer requirements and designs data representations for simple data sets. Presents to and influences the team using the appropriate frameworks and conveys messages through basic business understanding.

    Core Skills:

    • Sound knowledge of machine learning and deep learning concepts

    • Applied knowledge in ML (decision trees, random forests, boosting, etc.) and DL (CNNs, RNNs, attention mechanisms, etc.)

    • Sound knowledge of managing data for experiments (sampling, labelling, EDA, etc.)

    • Statistical Measurement, A/B Testing

    • Experience working with large data sets in big data environments (preferably Hadoop based)

    • Working proficiency in Python, SQL and Linux/UNIX environments

    Entry Requirements: Minimum Qualifications

    • Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field.

    • Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.

    • Option 3: 4 years' experience in an analytics or related field.

    Preferred Qualifications:

    • Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, or related field.

    • 5 years' experience in data science, machine learning, optimization models, or related field.

    • 3 years’ experience using open source frameworks (for example, scikit learn, tensorflow, torch).

    • Knowledge of experimental design and A/B testing

    Apply now
  • Data Analyst, Analytics Programs & Solutions 11 Aug 2021

    Atlanta or Sunnyvale United States

    001 calendar 11 Jul 2021 Full-time

    Down arrow white

    As a Data Analyst on the Analytics Programs & Solutions team, you support the analytics and insights vision for cross-Google Transparency efforts, working closely with non-technical and technical teams to structure measurement frameworks, metrics, and analysis deliverables.

    You will partner with Analytics Program Managers, Data Strategist, Data Scientists, Compliance, Legal and product teams on data curation, reporting, deep data analysis, and insights on the impacts of abuse and our abuse-fighting efforts. You are comfortable reducing complexity and love to tell stories out of data.

    Responsibilities:

    • Help extract, transform and build data structures, dashboards and reports to support Trust & Safety’s transparency efforts and other internally sensitive asks. Provide accurate, clean, and meaningful data for a variety of communication and reporting purposes (reports, blogs, decks, dashboards).

    • Be comfortable with diverse tables/data sources and tools across Google, and build expertise on how to centralize information in a consistent and qualitative manner.

    • Become an expert in translating different types of operational or regulatory requirements into data-driven action items, to provide high quality data output for internal and external stakeholders

    • Help build detailed, holistic, and informative documentation on all analytical initiatives, providing proper tracking and reporting information across stakeholders.

    • Solve to scale. Use all resources available to you to solve issues and requests at scale.

    Minimum qualifications:

    • Bachelor's degree in Computer Science, Applied Mathematics, Statistics, Quantitative Social Sciences or equivalent practical experience.

    • 2 years of experience in data and analytics.

    • Experience working with databases, SQL database queries/analysis, and proficient in other scripting/programming languages (e.g. Python)

    Preferred qualifications:

    • Proficient in programming and coding including R, Python and SQL

    • Demonstrated ability to prioritize tasks, with strong attention to detail and well organized to complete workload in a timely and effective manner.

    • Demonstrated ability to work well in a cross-functional team environment with a focus on knowledge sharing and collaboration.

    • Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of measurement, statistics and program evaluation

    • Demonstrated problem-solving, critical thinking, and analytical skills on ambiguous problems.

    • Excellent written, verbal and interpersonal communication skills to clearly communicate technical concepts with multiple cross-regional and cross-functional stakeholders.

    Apply now
  • Data Scientist 11 Aug 2021

    San Jose, California Unites States

    001 calendar 11 Jul 2021 Full-time

    Down arrow white

    Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 392 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

    Job Description Summary:

    At PayPal, we’re reinventing how the world pays and gets paid. We understand that it’s about people. We connect individuals to let them shop, get paid, invest, donate and send money using today’s technology with the confidence that comes from the security and control PayPal enables. Are you ready to help us change the world? As a Data Scientist in PayPal’s Global Data Science organization, you will have an impact on PayPal’s product and marketing all around the world. Our data scientists work to better understand our end-users, identify growth opportunities and improve our products and marketing outreach by creating personal and smart experiences. Making use of PayPal’s endless amount of data, you will leverage your data and machine learning skills for research and delivery of end-to-end ML solutions. If you are a Data Scientist with sharp analytical skills and a passion for deriving new insights, solving unique challenges, leveraging machine learning algorithms, and working in a highly collaborative, values-driven environment – then PayPal’s Global Data Sciences (GDS) is looking for you.

    Job Description: What does Success Look Like?

    In your role as a Data-Scientist, you will:

    • Work with partners to translate business challenges into Data Science problems

    • Mine data and extract information in PayPal’s Big Data environment

    • Leverage Machine Learning algorithms to solve real-life problems

    • Work with engineers and product managers to develop and deliver E2E data science driven solutions that bring real business value

    • Analyze various kinds of data to conclude actionable insights

    • Carry out independent research and innovation in ML and technological domains, while supporting existing projects

    About You

    • Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)

    • 1 to 2 years relevant work experience - an advantage Code writing capability in any programming language (Python, R, Java, Scala, etc.) and familiarity with relevant ML packages.

    • Strong analytical skills

    • Excellent spoken and written English

    • Team worker, responsible, delivery-oriented

    • Hadoop experience (PIG, Hive, Spark) is a plus to have but not required.

    We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

    Apply now
  • Data Scientist - Instagram Stories 2 Aug 2021

    New York United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

    Stories is at the heart of Instagram and continues to be a main reason people love our app. People use Stories to share their day, connect with their friends, and interact with content they love. Our job on the Stories team is to ensure an exceptional product experience that supports the ability to connect while maintaining a spirit of kindness. Data Science is crucial in ensuring we do this well and so we are looking for an experienced Data Scientist to support the whole Stories Ecosystem. We are looking for an individual contributor who can work across the different areas within Stories and jump into any problem and drive clarity and cohesion. This person will be tackling highly ambiguous problems and taking on projects that are cross-functional and strategic, by nature.

    Responsibilities

    • Develop a framework to understand impact to both producers and consumers of Instagram Stories

    • Set north star metric goals for Instagram Stories

    • Present results and recommendations to Instagram leadership

    • Ability to communicate the results of analyses with product and leadership teams to influence the strategy of the product

    • Define problems and opportunities in a complex or ambiguous area

    Minimum Qualification

    • Bachelors/Masters Degree with 4+ years (or PhD with 2+ years) of experience working within an analytical role

    • Experience in querying and manipulating raw datasets for analysis

    • Understanding of statistics (hypothesis testing, regressions, etc.)

    • Experience working independently

    • Communicator experience explaining technical concepts and analysis implications to varied audiences and can translate business objectives into actionable analysis

    Preferred Qualification

    • 7+ years of experience working in an analytics organization

    • Experience with Hive, R, and Python preferred Experience presenting to executive level audiences preferred

    • Experience driving cross functional team

    Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

    Apply now
  • Data Scientist, Analytics 2 Aug 2021

    Los Angeles United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    About TikTok

    TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul, and Tokyo.

    Job Description

    We are looking for a passionate Data Scientist with demonstrated knowledge of product analytics, data modeling and reporting. As a Data Scientist, you will have the opportunity to influence key strategic decisions by sharing insights to leaderships and business owners. You will collaborate with product managers, algorithm, user growth, content programming and operation teams to drive insights and deliver product recommendations. Come join our team and help grow our TikTok community!

    Responsibilities

    • Find actionable strategic insights through product funnels, cohort analyses, user segmentation, retention analyses and regression models to help us grow our products

    • Deeply understand the business landscape, various teams' needs/painpoints, and have the foresight to drive insights & constant improvement to TikTok's analytics capabilities

    • Develop time series, forecasting, anomaly detection, and user behavior models to solve complex product problems

    • Define KPIs, build automated dashboards, reports, and models to help teams make efficient and impactful decisions in growing/retaining TikTok's audience

    • Work with engineering and products to implement AB testing, qa, and monitor our logging metrics

    Requirements

    • BA/BS in Computer Science, Math, Economics, Statistics, or other quantitative fields

    • 4+ years work experience doing quantitative analysis in the tech industry

    • Ability to synthesize and communicate complex concepts and analyses in easy to understand ways. or A strong track record of identifying key business questions, performing analyses, and communicating impactful findings in a clear and concise way.

    • A solid grasp of common statistical methods and applications (A/B testing, probability, regression)

    • Expert experience developing large and complex data pipelines using SQL

    • Experience with a data visualization tool (e.g. Tableau)

    • Familiarity with web analytics tools (e.g. Google Analytics/Adobe Analytics/Amplitude) and event logging

    • Excellent verbal and written communication skills

    • Self-motivated, detail-oriented, learn autonomously, and highly organized

    Apply now
  • Staff Machine Learning Engineer 2 Aug 2021

    New York United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify.

    We are looking for a Staff Machine Learning Engineer within the Freemium mission who will work on providing the right value to the right user at the right time. We aim to customize the Spotify experience to fit each of our users expectations, creating an engaging experience and growing the Spotify audience.

    What You'll Do:

    Support the engineering team in formulating the technical vision and strategy for our ML-based optimization across the freemium funnel. Seek sophisticated data-related problems involving some of the most diverse datasets available and resolve feasibility of projects through quick prototyping with respect to performance, quality, time and cost using Agile methodologies Architect outstanding infrastructure (platforms, tools, and approaches) to accelerate our research and prototypes to the product phase and set up efficient training, deployment, optimization, and testing of models. Apply machine learning to build product features that drive tangible business impact Be a leading voice in an active community of ML practitioners across Spotify and improve existing state-of-the-art tooling in the Spotify ecosystem (TensorFlow, DataFlow, python-beam, Google Cloud Platform) Contribute to our team-wide product conceptualization in collaboration with engineers, researchers, product managers and tech leads on the team. Help drive optimization, testing and tooling to improve data quality

    Who You Are:

    • PhD or M.Sc. in Machine Learning, or related field

    -You have 4+ years of machine learning product development experience demonstrating large scale data processing technologies (e.g. TensorFlow, SciKit learn, Dataflow, Hadoop, Scalding, Spark, Storm)

    • You have experience in using ML techniques to optimize customer facing product features

    • You have a strong mathematical background in statistics and machine learning

    • You care about agile software processes, data-driven development, reliability, and responsible experimentation

    • You preferably have machine learning publications or work on open source to share with us

    Where You'll Be: We are a distributed workforce enabling our band members to find a work mode that is best for them!Where in the world? For this role, it can be within the Americas region in which we have a work location. Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more informabout about our Work From Anywhere options here . Working hours? We operate within the EST/EDT time zone for collaboration

    Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

    Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.

    Apply now
  • Machine Learning Engineer 2 Aug 2021

    Mountain View, California United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

    We are looking for Machine Learning Engineers to join our TikTok Creator Marketplace team. TikTok Creator Marketplace is the platform for monetization of creators in TikTok. We're dedicated to the realization of cooperation between creators and brands.

    Responsibilities:

    • Responsible for the development of state-of-the-art applied machine learning projects.

    • Collaborate with other teams to build/incorporate various signals into machine learning models.

    • Work with product and business teams on the product vision.

    Qualifications:

    Minimum Requirements:

    • BS or higher degree in CS, Statistics, or related technical fields.

    • 2+ years of experience in software development. Experience with high scale systems, recommendations or ML systems is a plus.

    • Strong communication skills, able to work and communicate with product and business teams.

    Preferred Requirements:

    • Familiarity with online experimentation (AB testing).

    • 1+ years of experience in applied machine learning teams or products.

    • Experience with recommendation systems or ads/monetization systems.

    • Has a research background.

    TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We believe individuals shouldn't be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are passionate about this and hope you are too.

    Apply now
  • Machine Learning Scientist 2 Aug 2021

    Cupertino, California United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

    Does an engaged, user-focused, and high impact environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining us.

    The News team at Apple is looking for smart, creative scientists and algorithm design experts to build a new generation of applications. You will contribute to applications and services including News on iOS that transform data into sophisticated products that delight, connect, and inspire users every day.

    Key Qualifications:

    • Strong software development practices

    • Strong Java and Python experience

    • Strong background in Algorithms and Machine Learning

    • Strong background in Deep Learning, Information Retrieval, or NLP

    • Experience with Scala or Clojure is a plus

    • Experience with Weka or scikit-learn is a plus

    • Experience with text-related tasks such as named entity labeling, topic classification, clustering, and indexing

    • Experience processing large-scale data sets using Mesos, Spark, or Hadoop

    Description

    Apple's News team is seeking a high-energy and self-driven Machine Learning Scientist who will play a central role in the delivery of scalable services. The team uses Machine Learning to tackle complicated problems in the News domain, including text extraction, named entity recognition, duplicate detection, search and ranking. As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every day.

    Responsibilities:

    We're looking for smart and creative engineers and scientists with a deep background in computer science, especially machine learning, information retrieval, and scalable distributed computing. Your passion for cutting edge technologies will be critical to your project and a key component to our team of best-in-class engineers and designers who are driven to build the next big thing.

    Join us to improve the lives of millions of users, and you will:

    • Design and implement production algorithms that process text and other data, and make the impossible possible

    • Prototype ideas and see them through to fruition

    • Communicate advances and ideas to a focused team

    • Develop innovative tools and metrics that change the way we look at problems

    • Join a thriving Machine Learning community at Apple

    Education & Experience

    Ph.D. in computer science, mathematics, electrical engineering, physics or related technical field.

    Apply now
  • Applied Scientist Machine Learning 2 Aug 2021

    London England

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

    We are looking for a creative & customer obsessed machine learning scientist who can apply the latest research, state of the art algorithms and ML to build highly scalable personalization solutions.

    A day in the life: You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and leaders in the Video Commerce Experince organisation. You will be innovating and experimenting in a complex technical and business space - dealing with Amazon scale, different types of video assets (Movies, TV Shows, Live Sports, Short Videos) and balancing various business offerings (Prime, Third party channels), positively impacting millions of customers worldwide using your knowledge research, experience in building ML models to positively impact customers.

    About The Hiring Group: As a member of the Prime Video Commerce Optmisation team, you will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At then of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.

    Job responsibilities: Research, design and implement ML components to customise the customer experience. Produce peer-reviewed research reports reaching the same level of correctness, scholarliness, usefulness, completeness, depth and rigor and/or originality as a respected peer-reviewed external publication. Where appropriate, you submit to internal and external publication venues. Participate in team design, scoping and prioritization discussions Work with technical product managers in working backwards from whats important to customers and machine backed solution. Influence the Prime Video Commerce personlisation strategy with Snr engineers and internal partner organisations.

    Basic Qualifications: Experience programming in Java, C++, Python or related language - Experience of building machine learning models for business application - PhD or equivalent Master's Degree plus experience in CS, CE, ML or related field

    Preferred Qualifications: Experience with contextual bandit models - Experience working within an Agile envoriment working with software engineers to launch products for customers.

    Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on objective criteria including your experience and skills. We value your passion to discover, invent, simplify and build. We welcome applications from all sections of society irrespective of colour, race, religion or belief, nationality, ethnic or national origin, gender, gender reassignment, sexual orientation, sex, marital status, disability, age or trade union membership. Please let us know if you have any special requirements in relation to this recruitment process. All offers are conditional on references, verification of the right to work in the UK, and successful background screening check. This will include previous employment verification, qualification verification (if relevant) and a basic criminal check. Further details of this policy/procedure will be sent to you along with your conditional offer.

    Apply now
  • Senior Machine Learning Scientist 2 Aug 2021

    Seattle United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    Do you want to join Alexa AI - the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?

    If your answers to these questions are “yes”, then come join us at the Alexa Artificial Intelligence team, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.

    With the Alexa Artificial Intelligence team, you will be working alongside a team of experienced machine/deep learning scientists and engineers to create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..

    You will be expected to: · Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT). · Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints · Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios; · Perform model/data analysis and monitor user-experienced based metrics through online A/B testing; · Research and implement novel machine learning and deep learning algorithms and models.

    Basic qualifications

    · Master's degree in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning

    · 1+ years experience with programming languages such as C/C++, Java, Perl or Python

    · 5+ years experience in building natural language processing systems

    Preferred qualifications

    · PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning

    · 8+ years experience in building natural language processing systems

    · Solid ML background and familiar with standard NLU and ML techniques

    · Experience with PySpark for big data processing, analysis and ML

    · Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field

    · Solid software development experience

    · Good written and spoken communication skills

    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation

    Apply now
  • Software Development Manager 2 Aug 2021

    Seattle United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    Here at the Alexa Artificial Intelligence Distributed Machine Learning Product Platform team, you will help Alexa better-understand humans with each passing day.

    We are looking for a Software Development Manager to head-up development initiatives related to privacy, security and policy enforcement for the spoken language understanding technology that powers the Alexa voice experience. In this role:

    · You will build a world-class software development processes that drive both core technology improvements and innovation in different dimensions of the voice experience; · You will use perceptive insights on business and customer requirements to drive vision and planning for the organization as a whole; · You will dive deep into our architecture and systems and learn about the machine learning technologies and feedback loops that power the Alexa experience and create initiatives for technology innovation and continuous improvement; · You will lead a team of diverse skillsets and backgrounds to improve the modeling experience for our customers. · You will work closely with usage data, business development, legal and policy organizations to improve our data privacy and policy enforcement controls for customers; · You will drive improvements in the science and engineering lifecycle to accelerate our ability to deliver ground-breaking innovation across a rapidly increasing number of customers, platforms and experiences; · You will engage on a regular and frequent basis with Senior Executive teams on product status, risks and strategy. · Excellent listening, writing skills and strong technical ability are essential.

    The ideal candidate is a creative, demonstrated leader/manager with superior analytical abilities and product judgment. This opportunity requires excellent technical, problem-solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. At the core of the position is delivery. The ideal candidate will have 10 or more years of relevant work experience in internet-related project and/or technical product management in a software applications environment.

    The ideal candidate will have experience defining projects, collecting requirements, writing detailed functional and test specifications, coordinating efforts to scope, schedule, and deploy new features, as well as analyzing the cost/benefit of feature selection and communicating results throughout the organization.

    Key Responsibilities: - Act as an entrepreneur, taking ownership of your services and maximizing the value you provide to your customers. - Manage multiple concurrent projects. Estimate, plan, and slice projects to deliver frequent value to production. - Manage day-to-day activities of engineering team using Agile/Scrum methodology. - Hire, mentor, and grow the engineering team. - Work with engineers to architect and develop simple solutions to complex problems. - Lead your team to operational excellence of your services. - Report on status of development, quality, operations, and system performance to management.

    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

    Basic qualifications - Bachelor's Degree in Computer Science or related degree - 5+ years of progressive experience within a software/development team or a similar operating environment, including 2+ years of experience leading, managing & developing a high-performance development team - Hands-on experience of building scalable systems - Ability to manage multiple concurrent projects. Estimate, plan, and slice projects to deliver frequent value to production.

    Preferred qualifications - MA/MS in computer science/related field - Industrial experience of Financial or Payments systems - Strong object-oriented design and coding skills (C/C++ and/or Java preferably on a UNIX or Linux platform)

    Apply now
  • Senior Applied Scientist 2 Aug 2021

    Seattle United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    Do you want to join Alexa AI - the science team behind Amazon’s intelligence voice assistance system? Do you want to utilize cutting-edge deep-learning and machine learning algorithms to delight millions of Alexa users around the world?

    If your answers to these questions are “yes”, then come join us with the Alexa Artificial Intelligence (AI) team, which is in charge of improving Alexa user satisfaction through real-time metrics monitoring and continuous closed-loop learning. The team owns the modules that reduce user perceived defects and frictions through utterance reformulation, contextual and personalized hypothesis ranking.

    As a Senior Applied Scientist, you will be working alongside a team of experienced machine/deep learning scientists and engineers to create data driven machine learning models and solutions on tasks such as sequence-to-sequence query reformulation, graph feature embedding, personalized ranking, etc..

    You will be expected to: · Analyze, understand, and model user-behavior and the user-experience based on large scale data, to detect key factors causing satisfaction and dissatisfaction (SAT/DSAT). · Build and measure novel online & offline metrics for personal digital assistants and user scenarios, on diverse devices and endpoints · Create and innovate deep learning and/or machine learning based algorithms for utterance reformulation and contextual hypothesis ranking to reduce user dissatisfaction in various scenarios; · Perform model/data analysis and monitor user-experienced based metrics through online A/B testing; · Research and implement novel machine learning and deep learning algorithms and models.

    Basic qualifications

    · PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience.

    · 3+ years of experience in building machine learning models for business application.

    · Experience programming in Java, C++, Python or related language.

    · Master's degree in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning.

    · 1+ years experience with programming languages such as C/C++, Java, Perl or Python.

    · 5+ years experience in building natural language processing systems

    Preferred qualifications

    · PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialization in speech recognition, natural language processing, or machine learning

    · 8+ years experience in building natural language processing systems.

    · Solid ML background and familiar with standard NLU and ML techniques.

    · Experience with PySpark for big data processing, analysis and ML.

    · Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.

    · Solid software development experience.

    · Good written and spoken communication skills.

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us

    Apply now
  • Applied Scientist 2 Aug 2021

    Vancouver Canada

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    Are you excited about developing state-of-the-art Machine Learning, Computer Vision, Deep Learning and Natural Language Processing algorithms, and designs using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment?

    As an Applied Scientist with the Alexa AI team, you will bring statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products

    Basic qualifications

    · PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field · 2+ years of experience of building machine learning models for business application · Experience programming in Java, C++, Python or related language

    Preferred qualifications · Expertise on a broad set of ML approaches and techniques, ranging from supervised to unsupervised learning including SVM, RDF & DNN. · A track record of thoughtful leadership and contributions that have advanced the field (Published in top tier conferences in the field of Machine Learning, Computer Vision, Multimodal, NLP) · Expertise in Deep Learning Framework (MXNet, Tensor Flow, etc.). · Experience in deploying deep learning algorithms on edge devices. · Experience working effectively with science, data processing, and software engineering teams.

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

    Apply now
  • Senior Applied Scientist 2 Aug 2021

    Boston or Cambridge United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    Help us shape the future of Alexa where it not only responds to requests you make but also proactively anticipates what you might need next and informs you of it at the right moment. We are looking for a seasoned applied scientist to optimize several diverse voice and visual experiences across Amazon Echo products.

    A day in the life: As a Senior Applied Science in Alexa Experiences and Devices, you will solve key challenges in how customers learn about and interact with voice assistants, and enable customers to get the most out of our products. You will design and develop fast, efficient, highly scalable machine learning algorithms. And work on problems spanning dialog systems, personalization, contextual bandits, recommender systems, reinforcement learning; developing novel solutions using large-scale real-world datasets. You will work with Alexa scientists, engineers and product team to build, evaluate and deliver solutions. You will develop innovative solutions enabling Alexa to learn from customer interactions to drive engagement.

    About the hiring group: Our team is identifying the key drivers for engaging customers on the Alexa platform across devices, skills and services. As a part of the larger Alexa Customer Experience team, your area of influence and impact will be all of the Alexa organization across the globe. You will have a front row seat to the evolving voice assistant industry and opportunities to impact the customer experience of a cutting edge product used every day by people you know.

    Job responsibilities · Step in as an experienced member of an applied machine learning research team, establish technical credibility quickly, and help recruit elite machine learning practitioners. · Contribute to setting up the research vision for the team, and develop and execute on a roadmap that addresses the major questions faced by the domains we serve. · Raise the bar for research quality and impact. Stay up to date on research results both within and complementary to the Alexa technology space and helping both your team and the larger org utilize tried patterns and state of the art results to work smarter and faster. · See it through — don’t stop at delivering a report or a model, use your work to influence and create durable change in how leaders at Alexa think about problems. · Solve problems durably — design processes, tools, and programs that solve entire categories of problems without you or your team’s direct intervention. · Hands-on practitioner - You yourself are actively involved in performing data analysis, A/B experimentation and modeling with large data sets to develop insights that increase device usage and customer experience. · Work closely with product managers and software engineers to design experiments and implement end-to-end solutions. Communicate the results of your optimizations to various business stakeholders. · Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences. · Develop the skills of junior members through mentorship and training. · Potentially support published works.

    Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

    Basic qualifications

    · PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience.

    · 3+ years of experience in building machine learning models for business application.

    · Experience programming in Java, C++, Python or related language.

    Preferred qualifications

    · PhD degree in Machine learning, computer science or related discipline. · 1+ years’ experience in deploying Recommendation Systems using Contextual Bandits, Reinforcement Learning, Task Specific Embeddings, etc.

    · Proficiency in Mxnet or Pytorch.

    · Proficiency with Apache Spark.

    · Hands-on applying statistical techniques such as hypothesis testing, experimental design or causal analysis.

    · Strong communication and collaboration skills.

    Apply now
  • Data Engineering Manager 2 Aug 2021

    Multiple locations United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    Are you a passionate Data Engineer with deep next generation Analytics skills including skills such as Data Modeling, Business Intelligence and Data Management Are you interested in taking on today’s biggest, most complex business challenges using the latest data and analytics technologies?

    Here at Accenture, we are changing the world through the most advanced Data and Analytics solutions on the planet! Want to be a part of it If you are about solving exciting problems and shaping the future of technology, we would love to talk with you. Accenture works with the world’s largest companies and government agencies to enable innovation at scale using cloud-based technologies. We are the leading systems integrator for all the major cloud providers including Amazon Web Services, Microsoft Azure, and Google Cloud Platform and we work with over 90% of Fortune 100 companies. Accenture is also committed to developing your skills and providing support to shape and grow your future. Our employees agree, as we have been consistently recognized on Fortune's 100 Best Companies To Work For list for 10 consecutive years.

    For now, all Accenture business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only. Please note: The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities and guidance from a number of infectious disease experts.

    Basic Qualifications:- Minimum of 6 years of combined data, analytics and strategic consulting experience- Experience in data migration from on-prem to cloud. Multi-Cloud experience – AWS/Azure/Google a plus- Minimum of 6 years of hands-on experience on one or more of these technologies –Python, Scala, Spark, PySpark- Database design and performance optimization with multiple databases (relational data stores – RDS, Aurora; NoSQL data stores – DynamoDB; data warehouses –Teradata, Redshift, snowflake; graph databases)- Data architecture (Understanding logical ways of organizing and analyzing data and how this affects building databases, APIs, and UIs)- Minimum of five years of experience in one or more of the following areas:- Business Translator (identifying business problem, initiative, analytics intervention, data science management, data science interpretation, storytelling)- Data & Analytics Transformation (current state assessment, strategy development, value case, roadmap, and blueprint)- Process Automation, Machine Learning, and Artificial Intelligence practices (knowledge of how advancing digital tools and techniques are applied in enterprise data and analytics strategies and roadmaps)- A Bachelor’s Degree or equivalent work experience (12 years) or an Associate’s Degree with 6 years of work experiencePreferred Qualifications:- Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing- Lead data modeling activities to capture and model data requirements, business rules, and logical and physical models- 2 years of Experience writing REST or GraphQL APIs- Infrastructure as Code (Terraform or similar technology)- Experience working with large data sets in distributed data environments- Experience with containerization platforms a plus, such as Docker, Kubernetes- Work in an agile CI/CD environment, (Jenkins/Ansible experience a plus)- Experience using TDD and unit testing as part of normal software development using packages such as Postman, Jest, JUnit, PyUnit, Swagger, etc.- Understand and used Object Orientated design techniques

    What We Believe

    We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

    Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here

    Equal Employment Opportunity Statement

    Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

    Accenture is committed to providing veteran employment opportunities to our service men and women.

    For details, view a copy of the Accenture Equal Opportunity and Affirmative Action Policy Statement.

    Requesting An Accommodation

    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

    If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

    Other Employment Statements

    Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

    COVID-19 update: The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually.

    Apply now
  • Azure Data Engineer 2 Aug 2021

    Chicago United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    For now, all Accenture business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only. Please note: The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities and guidance from a number of infectious disease expert Are you ready to step up to the New and take your technology expertise to the next level

    Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements, in conjunction with the way we collaborate, operate and deliver value, provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.

    People in our Client Delivery & Operations career track drive delivery and capability excellence through the design, development and/ or delivery of a solution, service, capability or offering. They grow into delivery-focused roles, and can progress within their current role, laterally or upward. We partner with our clients to help transform their data into an ‘Appreciating Business Asset.’

    As part of our Data & AI, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today’s biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!

    The Azure Technical Architect Delivery is responsible for delivering Data On Cloud projects for Azure based deals. The ideal candidate would also be responsible for developing and delivering Azure cloud solutions to meet todays high demand in areas such as AIML, IoT, advanced analytics, open source, enterprise collaboration, microservices, serverless, etc. The Azure Data Engineer is a highly performant engineer responsible for delivering Cloud based Big Data and Analytical Solutions at our clients. Responsibilities include evangelizing data on cloud solutions with customers, leading Business and IT stakeholders through designing a robust, secure and optimized Azure architectures and ability to be hands-on delivering the target solution. This role will work with customers and leading internal engineering teams in delivering big data soltuions on cloud. Using Azure public cloud technologies, our Data Engineer professionals implement state of the art, scalable, high performance Data On Cloud solutions that meet the need of todays corporate and emerging digital applications

    Role & Responsibilities:- Provide subject matter expertise and hands on delivery of data capture, curation and consumption pipelines on Azure- Ability to build Azure data solutions and provide technical perspective on storage, big data platform services, serverless architectures, hadoop ecosystem, vendor products, RDBMS, DW/DM, NoSQL databases and security.- Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform.- Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios.- Build full technology stack of services required including PaaS (Platform as-a-service), IaaS (Infrastructure as-a-service), SaaS (software as-a-service), operations, management and automation.- Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high-quality work.- Stay educated on new and emerging technologies/patterns/methodologies and market offerings that may be of interest to our clients.- Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems.- Understand the strategic direction set by senior management as it relates to team goals.- Use considerable judgment to define solution and seeks guidance on complex problems.- Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture. Establish methods and procedures on new assignments with guidance. - Manage small teams of deliver engineers successfully delivering work efforts (if in an independent contributor role) at a client or within Accenture.

    Basic Qualifications - At least 5 years of consulting or client service delivery experience on Azure - At least 5 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions - Extensive experience providing practical direction within the Azure Native services and Hadoop - Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc. - Minimum of 5 years of hands-on experience in Azure and Big Data technologies such as Powershell, C#, Java, Node.js, Python, SQL, ADLS/Blob, Spark/SparkSQL, Databricks, Hive and streaming technologies such as Kafka, EventHub, NiFI etc.- Well versed in DevSecOps and CI/CD deployments - Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, SSIS, Attunity (Qlik), Event Hub, Kafka, etc. - Minimum of 5 years of RDBMS experience - Experience in using Big Data File Formats and compression techniques- Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, GitLabs, Jenkins, etc.- Experience with private and public cloud architectures, pros/cons, and migration considerations. - Bachelors or higher degree in Computer Science or a related discipline.

    Nice-to-Have Certifications - DP-200 Implementing an Azure Data Solution - DP-201 Designing an Azure Data Solution - AZ-400: Designing and Implementing Microsoft DevOps Solutions

    Nice-to-Have Skills/Qualifications: - DevOps on an Azure platform - Experience developing and deploying ETL solutions on Azure - IoT, event-driven, microservices, Containers/Kubernetes in the cloud - Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. - Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc. - Multi-cloud experience a plus - Azure, AWS, Google

    Professional Skill Requirements - Proven ability to build, manage and foster a team-oriented environment - Proven ability to work creatively and analytically in a problem-solving environment - Desire to work in an information systems environment - Excellent communication (written and oral) and interpersonal skills - Excellent leadership and management skills - Excellent organizational, multi-tasking, and time-management skills - Proven ability to work independently

    Unless expressly indicated, this role is not open in the state of Colorado.

    What We Believe

    We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

    Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here

    Equal Employment Opportunity Statement

    Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

    Apply now
  • Research Engineer - DeepMind for Google 2 Aug 2021

    Mountain View, California United States

    001 calendar 2 Jul 2021 Full-time

    Down arrow white

    DeepMind for Google (DMG) collaborates closely with a wide variety of teams across Google / Alphabet to deploy advanced machine learning algorithms to improve Alphabet products and services. We are a scrappy, collaborative, diverse team situated across London and Mountain View. Our current engagements include teams in Android, Assistant, Data Centre Operations etc. We are a highly motivated team who are eager to learn. We collaborate closely with Research and Machine Intelligence teams inside Google on several projects.

    We continuously receive and seek out collaboration opportunities with Google / Alphabet. Each project typically consists of a small team of engineers working closely with our partners and with our researchers, specialist infrastructure engineers, product managers and program managers. Our researchers contribute their deep expertise in machine learning to individual projects as well as conduct fundamental research into common problems across our team. Our product managers engage with each of the product areas to ensure we select good projects, develop strong collaborative relationships, and are strategically aligned with our partner teams. Our program managers help coordinate our activities, ensure information propagates to where it needs to, and generally make sure things run smoothly.

    The Role:

    You’ll work in one of our machine learning project teams. Each project differs in its specifics, but they tend to involve significant experimentation in close collaboration with our partner teams. Common phases include understanding our partner’s objectives, stakeholders, products, constraints, key metrics, and systems; gathering, transforming, and analysing data; proposing, building, evaluating, and debugging practical machine learning models and algorithms; integrating our pipelines, models and predictions into production serving systems; running and analyzing experiments and iterating based on outcomes

    Qualifications:

    We highly value strong ML research engineers who are willing to help out with whatever moves our projects forward. You should have strong interpersonal skills and be a team player. You should be flexible in adapting to changing requirements and able to cope with and reduce ambiguity. An ability to quickly understand, augment, test, and debug unfamiliar systems is valuable. A demonstrated interest and experience in ML is required. You should be fluent in C++ and Python.

    Minimum Qualifications:

    BSc/MSc degree in computer science, mathematics, applied stats, machine learning or similar. Proven experience working in industry, working on projects from proof-of-concept through to implementation. Strong knowledge and experience of Python and/or C++. Knowledge of machine learning and/or statistics. Strong knowledge of algorithm design. Working knowledge of Tensorflow or similar ML frameworks. Strong Software Engineering experience - experience working on large-scale ML projects highly beneficial. Experience with multi-threaded design and parallel/distributed computing. A passion for AI.

    Competitive salary applies.

    DeepMind welcomes applications from all sections of society. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

    Apply now
  • Global Head of Data Science & Analytics 12 Jul 2021

    San Francisco United States

    001 calendar 10 May 2021 Full-time

    Down arrow white

    Description

    This is a rare opportunity to apply your leadership and analytical expertise to a subject you love: Music! Amazon Music is seeking a Global Head of Data Science & Analytics to lead a talented data science and BI team to deliver transformational customer insights that drive marketing, content and product strategy for our Amazon Music streaming service. Since its launch in 2014, Amazon Music has seen explosive user growth driven by integration with the highly successful Amazon Prime subscription program and Alexa voice-enabled devices. As the Global Head of Data Science & Analytics at Amazon Music, you will have the opportunity to work with a huge and rapidly growing data set generated by mobile, desktop and home music streaming application usage interactions and music consumption behaviors, with a charter to uncover insights that produce step-function growth in the Amazon Music subscription base.

    We are looking for someone to lead and grow a talented team of analytics and data science professionals. This candidate will develop people, form strong working partnerships with business and technology leaders, plan and execute analytical roadmaps, formulate analytical strategies for solving business problems, and develop strategies to scale the impact of data through development of self-service analytical programs.

    You should have superb analytical, technical, business and communication skills to be able to work with business and technology leaders to define and prioritize key business questions, build data acquisition processes, data sets, statistical models and analyses that answer those questions. This role requires an individual with exceptionally strong quantitative modeling skills and experience using statistical methods to produce actionable customer insights. The successful candidate will be a proven analytics leader who is comfortable with ambiguity, demonstrates strong attention to detail, and thrives in a fast-paced environment.

    In This Role, You Will Leadership and management of a 40+ person global Data Science team Partner with senior business and technology leaders to develop data-driven business strategy Deliver insights to help shape strategy across a wide spectrum of business and technology areas, including: customer acquisition, customer lifecycle, mobile application features, Alexa voice features, and music programming. Lead research and development of foundational business enablers, including: acquisition and lifecycle stage propensity models, customer segmentation models, experimentation metrics, marketing attribution models, and forecast and lift models. Oversee planning and execution of self-service analytics data infrastructure roadmap using Tableau Provide guidance and thought-leadership on analytical best practices to team members and business partners Partner with our Data Engineering team to build requirements for data infrastructure necessary to facilitate efficient analysis and reporting Translate analytic insights into concrete, actionable recommendations for business or product improvement

    Basic Qualifications MS degree in Business, Economics, Statistics, Data Science, Data Mining, or other quantitative field. PhD preferred. 10+ years of experience in Analytics, Data Science Business Intelligence or other quantitative disciplines and a degree in statistics, economics, mathematics, or similar quantitative discipline. 5+ years of analytical people management experience Deep experience developing successful analytics-based solutions to business problems Proven track record of solving ambiguous and highly complex data problems. Proficiency using SQL to query large relational databases and ability to build and maintain processes to extract & integrate data from various sources Experience with statistical analytics tools such as R, Python, SAS, or STATA Exceptional critical thinking and attention to detail Strong interpersonal and communication skills. Must be able to explain technical concepts and analysis implications clearly to a wide and senior audience, and be able to translate business objectives into actionable analysis Preferred Qualifications Experience working with AWS, Hadoop/MapReduce, Spark or other Big Data technologies Experience writing scripts to manipulate data or automate data pipelines using Python, Ruby, Java, or similar. Music industry experience A passion for music!

    Apply now
  • Head of Data Science 12 Jul 2021

    San Francisco United States

    001 calendar 10 May 2021 Full-time

    Down arrow white

    About The Role

    We are looking for a customer-centric senior manager to lead science and analytics for Maps! Maps develops the backbone of geospatial technologies that underlie Uber’s systems--travel time and distance prediction, traffic prediction, route recommendation, navigation, pickup & dropoff location setting and experience optimization, and other geospatial technologies. Its work is critical for Uber’s Rides and Eats businesses through: 1) improving the core trip experience such as ETAs, routes, and pickup & dropoff; 2) powering the core internal decision making systems such as pricing and matching.

    Your team is responsible for developing statistical, ML, and optimization models for these systems; it consists of statisticians, ML and OR scientists, and data analysts, led by several frontline managers. The team is also responsible for all the relevant product analytics such as data, metrics, and experimentation and measurement frameworks.

    What You’ll Do Lead a team of 3-5 managers as well as senior individual contributors. Work closely with leads from engineering and product, and upstream and downstream teams, to define and execute the direction of the product development. Create the technical vision for the team on both data analytic foundations and advanced models. Communicate to executive stakeholders and other company leaders. Build a strong science & analytics team by hiring and mentoring. Provide technical and professional guidance, mentorship, and people management. Improve the understanding of data-driven product development across Uber. Provide technical and leadership feedback and guidance to the broader science community in the company.

    Basic Qualifications M.S. degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative discipline. Experience in people management. Knowledge of underlying mathematical foundations of statistics, experimentation, machine learning, and analytics. Hands on experience in developing and prototyping statistical and machine learning models. Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.

    Preferred Qualifications Ph.D. degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. 6+ years of experience in data science related fields. 4+ years of experience in people management. Experience in managing a large team of data scientists (12+) and managers (3+). Passionate about Uber’s problem space, motivating, empathetic, truth seeking, and holding a high technical bar.

    At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.

    We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

    Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

    Apply now
  • MLOps Engineer 12 Jul 2021

    Chicago United States

    001 calendar 10 May 2021 Full-time

    Down arrow white

    We are: Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.

    You are: An expert Cloud / DevOps engineer with an eye for AI. You want to change how the world works and lives by taking AI out of the lab and into everyday life.

    The work: Bring your deep expertise in cloud architecture / DevOps to analyze and recommend enterprise-grade solutions for operationalizing AI / ML analytics

    Develop end-to-end (Data/Dev/ML)Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.

    Prototype and demonstrate solutions for clients in customer environments.

    Use your judgment to craft solutions to complex problems or seek guidance as needed

    Develop assets, accelerators, and thought capital for your practice

    Stay current on new products that clients could use

    Be a trusted advisor to your Accenture colleagues and to your clients

    Here’s what you need: - Minimum 2 years of software engineering experience - Minimum 2 years of experience working in an AI / ML context alongside Data Scientists or ML Engineers - Minimum 1 year of design and implementation of cloud solutions (AWS, Azure, or GCP) - Minimum 1 year of experience implementing CI/CD or DevOps solutions - Minimum 1 year of experience with Docker - Minimum 1 year of experience managing Kubernetes clusters

    Bonus points if: - Certifications Preferred: Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps - Experience building Data or MLOps pipelines - Experience with technical architecture - that is, the design and delivery of IT systems for a broad range of clients - Experience in project governance - Customer-facing experience of discovery, assessment, execution, and operations. - Excellent communication, presentation, and problem-solving skills - Possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients

    Racking up those air miles will have to wait, as weekly non-essential travel to client sites Monday through Thursday is currently suspended. For now, all Accenture business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only.

    Please note: The safety and well-being of our people continue to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities, and guidance from a number of infectious disease experts.

    What We Believe

    We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

    Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here

    Equal Employment Opportunity Statement

    Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. Our rich diversity makes us more innovative, more competitive and more creative, which helps us better serve our clients and our communities.

    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

    Accenture is committed to providing veteran employment opportunities to our service men and women.

    For details, view a copy of the Accenture Equal Opportunity and Affirmative Action Policy Statement

    Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

    If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.

    Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

    Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

    Apply now
  • DevOps Engineer 12 Jul 2021

    Edinburgh Scotland

    001 calendar 10 May 2021 Full-time

    Down arrow white

    Our Company

    Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

    We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

    The Opportunity

    Adobe’s Edinburgh engineering centre builds and operates key technologies serving Adobe’s business both now and in the future. As part of the Cloud Technology unit, our mission is to invent the technologies that allow our product leaders’ dreams to come true. We seek problems at a scale few other companies face.

    We build high availability and low maintenance workflow orchestration services. Our services and APIs play a critical role for Adobe customers before and after they make their purchases, supporting individual hobbyists through to multinational enterprises.

    When our customers manage their Creative Cloud subscription, our APIs are behind the scenes. When multinational advertising agencies and social networking companies need to map thousands of users from their IT system to Adobe’s identity system, they use the APIs built in Edinburgh. When customers receive an email welcoming them to their Adobe account, that’s constructed and sent by our systems.

    As an example of that we do, our Adobe Edinburgh engineering centre build and run a distributed, realtime messaging platform for intersystem communication that is at the heart of Adobe's $15 billion annual revenues.

    There are opportunities in Edinburgh for you to build the services and solutions that help deliver Adobe’s vision of the future. You will have the chance to work with a wide variety of engineering teams from across the company.

    What you’ll be doing You will work closely with engineering and technical planning teams to ensure services return accurate information reliably and quickly You will create tooling and automation to reduce operational burdens You will encourage the professional and technical growth of those around you You will enhance a team that has a strong focus on the value it delivers to Adobe and its customers

    What you can expect A supportive, trusting and transparent working environment An opportunity to do things differently with an expectation you will challenge assumptions and offer solutions Collaboration across widely distributed teams An opportunity to influence the engineers around you To work in an agile team that has a strong focus on the value it delivers to Adobe and its customers

    What you'll need to succeed Phenomenal communication and collaboration skills Excellent troubleshooting and diagnosis skills across technologies and distributed systems A clear track record of delivering infrastructure-as-code Proficient working with Linux systems Have experience with CI/CD Experience with Prometheus, Cortex, Grafana and Splunk is a bonus Experience using some of Terraform, Ansible, Docker, Kubernetes, Kafka, Cassandra, Zookeeper, MySQL, Redis and Elastic Search Experience with cloud service providers, especially AWS & Azure Be able to clearly explain complex issues Be curious and have a keen interest in continual learning & improvement Previous job experience as an engineer within an internet scale business is a bonus

    Apply now
  • Head of Product - Applied AI/ML - Executive Director 12 Jul 2021

    London England

    001 calendar 10 May 2021 Full-time

    Down arrow white

    Job Description

    About J.P. Morgan Corporate & Investment Bank

    J.P. Morgan’s Corporate & Investment Bank (CIB) is a global leader in Banking. The world’s corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate & Investment Bank supports our clients around the world providing strategic advice, raising capital and managing risk.

    Who We Are

    The Digital Platform & Services team is responsible for assessing emerging trends, technologies, electronic platforms, potential partnerships, and for building digital products – that could transform the way we, and our clients, do business. Our team consists of product managers, designers, developers and business representatives. The team is thoughtful in balancing due diligence with speed to market and creativity with discipline in order to produce best-in-class, efficient, thoughtful digital solutions for our clients.

    Why join?

    This is a fascinating time in our industry. By now, it’s a cliché that banks will have to embrace technology and innovation if they are to thrive in the years to come. We have already bought into this and are committed to show that we can do it and are looking for others to join.

    You Will Work on some of the most complex problems imaginable at the intersection of two dynamic industries: Finance and Technology Interact with unbelievably large and fascinating datasets currently not available anywhere else Develop products that can change the way our clients operate, and how Banking is done today Influence decisions on Market Strategy, Platform Strategy, Client Engagement and implementing innovative technology based solutions Interact with other high-performing teams within JPM to inspire innovation and champion change throughout the bank

    What you will be working on? As part of the Digital Platform team, the Product Manager will partner with all lines of business within the CIB to continue strategic product development efforts, with a focus on Applied AI/ML. This includes: Driving value by bringing ML-enabled products and solutions to teams across the entire firm Working in close partnership with all LOBs (Markets, Operations, Investment Banking, etc.) to ensure product roadmap is collectively aligned to the firms strategic vision, while being mindful of business requirements across the entirety of the CIB Partner with the firm’s data scientists in Applied Artificial Intelligence/Machine Learning to tackle problems suitable for machine learning solutions Assist with securing the right data needed for a solution, in the right way, in compliance with the firm’s policies Influence the design of data science solutions to deliver for multiple stakeholders simultaneously Partner with the Digital Platform Technology team to ensure the product vision, roadmap and prioritization is clearly understood and efficiently executed Collaborate with the firms Design and User Experience teams, providing clear requirements derived from user research to develop a best-in-class platform offering Manage the functional and technical requirements of business stakeholders to support their core requirements

    Who are we hiring?

    We are looking for an outstanding, Executive Director - Senior Product Manager - AI/ML & Data with experience building and scaling an ecosystem of digital products across desktop, web and mobile channels from concept to delivery. This role will focus on products in the firm’s Applied AI/ML space. We are looking for someone who, when something needs to be done, people come to you to get it done.

    Required You have 10+ years of experience in a product role and at least 4 years of management experience You have strong leadership skills and the ability to independently own products or a portfolio of products end-to-end. You have a strong track record of product deliveries Familiar with core areas in applied machine learning such as NLP, computer vision, and personalization Experience working with products that harness large data sets and use various machine learning techniques to deliver insights and new features Familiar with the data science model development lifecycle (data preparation, model training, etc.) You have a view on what it takes to build a scalable Digital Platform, shared components and services that can serve multiple distribution channels The ability to build consensus amongst a wide range of partners including business owners, technology, operations, legal & compliance, marketing & sales

    Desirable Markets/Financial products knowledge or you have the curiosity to quickly pick up subject matter expertise on a specific product set Bachelor’s degree

    The hiring manager for this job opening would welcome a conversation about flexibility. This could range from ad hoc flexibility in a full time position, to a more formal Flexible Work Arrangement

    JPMorgan Chase & Co. offers an exceptional benefits program and a highly competitive compensation package. JPMorgan Chase & Co. is an Equal Opportunity Employer and a member of the UK Government’s Disability Confident Scheme.

    About Us

    JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

    We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

    Equal Opportunity Employer/Disability/Veterans

    Organization

    The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

    Apply now
  • Data Engineer 12 Jul 2021

    London England

    001 calendar 10 May 2021 Full-time

    Down arrow white

    Introduction Have you heard about the IBM Garage? It's a cross-functional team that delivers a unique client co-creation experience to accelerate client transformation. We use Enterprise Design Thinking, our industry-leading IBM Garage Methodology and IBM's multidisciplinary experts in full speed from the start. We design, develop, test, and deliver solutions. Start-up speed. Enterprise scale. We apply user-centric approaches to ensure all features add value for the user and achieve desired client impact.

    Your Role and Responsibilities We are looking for a Data Engineer to join our entrepreneurial team as the Subject Matter Expert on building big data solutions with great scalability. Led by a solution architect, you will provide expertise and leadership to help design IBM Data Science and AI solutions that will help our clients drive technology benefits and business outcomes across industries. You will work with cutting edge technologies such as Watson, as well as Open Source approaches with a passionate team of people who are driving the innovation and digital transformation to cross-industry enterprise clients with the adoption of IBM Data Science and AI. An ideal candidate will also be familiar with Design Thinking, DevOps, big data engineering skills on architecture and solutions with best practices.

    Key Responsibilities Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical requirements and support their data infrastructure needs. Working directly with clients to understand requirements and presenting solutions to customer sponsors. Provide the ability to work within agile development methodology and collaborate effectively with multi-disciplinary teams Build modern enterprise solutions which support scaling, development, test and data quality evaluation big data solutions based on the requirements. Understand data architecture, build large-scale data processing systems supporting data transformation, data structures, metadata, dependency and workload management and optimizes data flow. Have experience on big data process including collecting, parsing, manipulating, managing, analyzing and visualizing large sets of data to turn information into insights using multiple platforms. Have expertise in data persistence solutions, experience with the latest (NoSQL) database technologies, and experience with building complex SQL queries using various (NoSQL or RDBMS) databases such as MongoDB or DB2 Required Technical And Professional Expertise Proficient using Python, Spark, shell scripting Experience with relational SQL and NoSQL databases, including Postgres and Cassandra Experience with data pipeline, data modelling and warehousing tools Proven design & implementation experience with distributed applications Proven working experience in database architectures and data pipeline development Understanding of cloud and on-premise infrastructure concerns Computer Science with software engineering and Math background desired Demonstrated ability to adapt to new technologies and learn quickly Preferred Technical And Professional Expertise Experience with big data tools: Hadoop, Spark, Kafka, etc. Familiar with big data solutions with experience on Hadoop based technologies such as MapReduce, Hive MongoDB or Cassandra. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Knowledge of cloud technologies such as Kubernetes, Cloud Foundry, PaaS, and IaaS (SoftLayer) IBMReferred_Europe

    Required Technical and Professional Expertise

    As Per Job Description

    Preferred Technical and Professional Expertise

    About Business Unit

    IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company’s Global Markets organization is a strategic sales business unit that manages IBM’s global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients’ growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.

    Your Life @ IBM What matters to you when you’re looking for your next career challenge?

    Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

    Impact. Inclusion. Infinite Experiences. Do your best work ever.

    About IBM

    IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

    Location Statement IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

    Being You @ IBM IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

    Apply now
  • Data Engineer 12 Jul 2021

    Telford or London England

    001 calendar 10 May 2021 Full-time

    Down arrow white

    An overview of the role The work (C) The role falls within the “Data and Analytics” delivery centre of Capgemini’s HMRC market unit. The group provides a wide range of data and analytics solutions in support of HMRC’s business priorities: maximise revenues, bear down on avoidance and evasion, improve and transform tax systems and respond to current Covid challenges.
    This role is a unique chance to design, development, testing and support of data and analytics software solutions within the HMRC MU as part of an Agile software delivery team including software architects and fellow software engineers. You will also be supported by product managers, scrum masters and solutions architects. With additional client and key stakeholder interaction as required.

    Collaboration/Innovation (O)

    As a vital part of our business unit, you’ll contribute to first-class end-to-end solutions in your assignments. You will play an active role in defining our practices, standards and ways of working, and apply them to your role. Be open to working across organisation and team boundaries to ensure we bring the best to our customers.

    If viewing on a mobile device only the first two lines will be pulled through. Please do not use acronyms, everything must be expressed in long hand format.

    Why this role?

    You will work as part of an Agile software delivery team; typically delivering within an Agile Scrum framework. You will work on the full range of software engineering and solutions development activity; covering requirements gathering and analysis, solutions design, software coding and development, testing, implementation and operational support. You will contribute to the software engineering communities by providing your ideas for innovation and process improvement and coaching and mentoring other team members. You will have the opportunity to have a hugely positive impact in this role.

    Must have: Experience in an ETL toolset (Talend, Pentaho, SAS DI, Informatica etc) Experience in a Database (Oracle, RDS, Redshift, MySQL, Hadoop, Postgres, etc) Experience in data modelling (Data Warehouse, Marts) Job Scheduling toolset (Job Scheduler, TWS, etc) Programming and scripting languages (PL/SQL, SQL, Unix, Java, Python, Hive, HiveQL, HDFS, Impala, etc)

    Good to have: Data virtualisation tools (Denodo) Reporting (Pentaho BA, Power BI, Business Objects) Data Analytics toolset (SAS Viya) Cloud (AWS, Azure, GCP) ALM Tooling (Jira, Confluence, Bitbucket) CI/CD toolsets (Gitlab, Jenkins, Ansible) Test Automation (TOSCA)

    Why you?

    You should have experience as a software engineer delivering within large scale data analytics solutions and the ability to operate at all stages of the software engineering lifecycle, as well as: Awareness of devops culture and modern engineering practices Experience of Agile Scrum based delivery Proactive in nature, personal drive, enthusiasm, willingness to learn Excellent communications skills including stakeholder management Design solutions with understanding of the architecture and NFRs Providing technical leadership and governance Build engineering capability within your team and wider Data and Analytics Responsible for impacts being produced by your team Build high performing engineering led teams Accountable for the quality of deliverables your team are producing, and continually look for ways to improve it Why us?

    While we’re a global consultancy, we’re made up of supportive, close-knit communities. Everyone wants to get the best solutions for our customers and create the best working environment.

    Upskilling Potential is just as important to us as having the required skills. If you have the right mindset, we might be able to provide you with bespoke training. So, if you’re not sure you have all the skills you need, but you’re still passionate about the role, please apply and we’ll see if we can support you.

    Diversity

    Capgemini positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender identity, religion or belief, marital status, or pregnancy and maternity. We are committed to hiring, developing and retaining the best people to deliver innovative, world-class solutions for our clients. We foster an inclusive culture that enables everyone to achieve their full potential and enjoy a fulfilling career with us. Our comprehensive flexible benefits package and lifestyle policies enable our employees to balance their individual, family and work-life needs. About Capgemini

    Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 270,000 team members in nearly 50 countries. With its strong 50 year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2020 global revenues of €16 billion.

    Apply now
  • Data Scientist 12 Jul 2021

    London England

    001 calendar 10 May 2021 Full-time

    Down arrow white

    As a Barclays Data Scientist, you will have the opportunity to join an exciting new venture within the Financial Crime Screening Team. As part of the programme you will be working with a variety of teams and will be responsible for the development and delivery of high quality data forensics. The role will be the ideal challenge for anyone looking to work within the sanctions and statistics field.

    Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive, and creating financial and digital solutions that the world now takes for granted.

    What will you be doing?

    Producing meaningful data forensics to support the delivery of tuning related initiatives Creating, building and maintaining analytical tools through programming to generate insight, recognise patterns and predict behaviour Experimenting with and identifying various analytical methods/ techniques best suited to data challenges Processing, cleansing, and verifying the integrity of data used for analysis Responding to ad-hoc requests and communicating the results of any analysis, trends and MI to a range of audiences whilst effectively managing your workload Having an active interest in all aspects of technological infrastructure Developing an understanding of Financial Crime preventative measures, systems and operational processes within Barclays Supporting the delivery of automation initiatives in-line with the wider Group strategy

    What We’re Looking For

    Excellent analytical and quantitative skills to support Sanctions (Financial Crime Operations) and work with a diverse range of colleagues across multiple sites Good presentation skills with ability to explain sophisticated solutions to a non-technical audience Ability to apply problem solving and continuous improvement

    Skills That Will Help You In The Role

    Degree or track record in Statistics, Mathematics, Computer Science or related scientific disciplines

    Where will you be working?

    Barclays House is a distinctive looking eight floor building, based in the heart of Poole. We have an expansive restaurant and a coffee shop which boast a sun terrace for the warmer months and accessible sporting facilities on offer. We’re are also within close reach of the shopping centre, old town and railway and bus stations.

    Apply now
  • Data Scientist, Product 12 Jul 2021

    London England

    001 calendar 10 May 2021 Full-time

    Down arrow white

    We're looking for data scientists to work on our core and business products (Instagram, Ads, Messaging, Identity, Growth & Engagement, Mobile, Search, Privacy, Payments ) with a passion for Internet technology to help drive informed business decisions for Facebook. You will enjoy working with one of the strongest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will have some experience in data-driven decision making. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product. These positions are located in our London office.

    Responsibilities Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core/business products Partner with Product and Engineering teams to solve problems and identify trends and opportunities Inform, influence, support, and execute our product decisions and product launches The Data Scientist Analytics role has work across the following four areas: Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams and spreading best practices to analytics and product teams Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metric, and building models of user behaviors for analysis or to power production systems Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, and automating analyses and authoring pipelines via SQL and Python based ETL framework Product Operations: Forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, and evaluating and defining metrics Minimum Qualification Significant experience doing quantitative analysis Solid understanding of statistical analysis Ability to initiate and drive projects to completion with minimal guidance Experience communicating the results of analyses to product leadership teams to influence the strategy Applied statistics or experimentation (i.e. A/B testing) in an industry setting BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees preferred Fluency in SQL or other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)

    Preferred Qualification Experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc. Experience with an Internet-based company Experience with large data sets and distributed computing (Hive/Hadoop) a plus

    Apply now

Partners & Attendees

Acc1.001
Mit tech review.001
Nvidia.001
Svb.001
Facebook.001
Forbes.001
Applause .001
Graphcoreai.001
Twentybn.001
Rasa.001
Sama21.001
Intel21.001
This website uses cookies to ensure you get the best experience. Learn more