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Seattle United Kingdom
18 Feb 2021 Full-time
Job Description Details
Zulily is always looking for outstanding technical talent, and our Data & Machine Learning team is looking for you. As Data Scientist in our Data & Machine Learning team you will contribute to the pursuit and impact of applied science at Zulily – from the creation of “surprise and delight” personalization experiences for our customers to ensuring cost-effective and on-time delivery through our supply chain and fulfillment centers. This is an opportunity to be part of an innovative, data-driven culture that is changing the way data and technology are used to shape eCommerce.
The Data & Machine Learning team is highly visible within the company, at the front line of many of our customers' experience. The team is currently working on exciting projects such as: expanding our video and image analytics with Deep Learning and NLP, optimizing our merchandise planning, scheduling, purchasing and placement, integrating and extending our experimentation platform to enable dynamic learning feedback and contextual bandit optimization, developing an entity understanding and metrics framework to provide a fabric of reusable features for machine learning and doubling down on our marketing technology efforts.
As a data scientist, you will deliver end-to-end solutions based on machine learning, statistics, and data science. You will work with key business stakeholders and Product Managers to crisply define business questions, success criteria, and deployment plans. You will use reproducible research techniques to create analytical data sets, conduct exploratory data analyses, select and engineer features, train, tune, and evaluate candidate models, distill and present findings, and create cloud-ready production and reference implementations. You will work with Data and Machine Learning engineers to operationalize implementations at scale and measure their performance.
Experience Were Looking For 3-5+ years’ experience developing applied machine learning or data science capabilities in consumer-facing and/or enterprise applications You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models Demonstrable knowledge of principles and best practices in classical and Bayesian statistics and experimental design Strong communication skills including the ability to describe complex models and findings to different audiences and stakeholders, from deep science peers to business decision-makers Demonstrated exploratory analysis and visualization abilities in a non-academic setting Working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting (AWS, Google Cloud) Experience at the Linux command line and with shell scripting Strong bias for action and ability to pivot quickly and act with agility according to the needs of the business A strong sense of enjoyment, pride and ownership in work that is well-done Ability to establish solid relationships with stakeholders and teammates Masters or PhD degree in Computer Science, Applied Mathematics, Statistics or a related technical discipline Industry Marketing & Advertising Computer Software Retail Employment Type Full-time
Job Functions Research Strategy/Planning Analyst
18 Feb 2021 Full-time
Significant experience in designing, implementing & supporting highly scalable systems and services in Java, Scala and/or other JVM-based languages.
Experience with SQL, NoSQL or NewSQL technologies (see Additional Requirements below).
Practical experience with Apache Kafka.
Self-starter with strong customer and product focus.
Ability to communicate thoughtfully, demonstrating problem-solving skills and a learning mentality to build long-term relationships.
Working knowledge of governance/security concepts and technologies including (encryption, anonymisation, PCI, PII, ISO-8583, etc.).
We are looking for a team member with a strong foundation in computer science theory and industry experience. In this role, you will design, develop, and deliver components of a distributed system that is key to the Apple Pay stack. You will have a proven ability to solve problems, interest in continuous learning and digging deep into the domain when necessary.
JOB FUNCTIONS INCLUDE:
• Multi-functional collaboration throughout the entire software lifecycle.
• Scoping, design, and implementation of scalable, resilient distributed systems.
• Participating in design sessions and code reviews with peers to elevate the quality of engineering across the organisation.
Education & Experience
• BSc or MS in Computer Science or related technical field, equivalent work experience will be considered.
ANY OF THE FOLLOWING IS AN ADVANTAGE:
• Practical experience with CockroachDB, Cassandra, FoundationDB, DynamoDB.
• Public cloud platforms (AWS, GCP, etc).
• Deployment experience using Docker and Kubernetes.
• Relational data modelling & practical experience with RDBMS (Oracle, Postgres, MySQL etc).
• Fintech experience.
• Payments experience.
• Open Banking.
This role may require occasional international travel/transatlantic travel.
Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products.
18 Feb 2021 Full-time
As a Barclays Data Scientist you will join our high performing Statistical Modelling and Development team who’s remit lies within the trading activities in the Markets division, in particular, electronic trading. You will be part of our Investment Banking business, working closely with our Markets revenue generating teams. You will be also focused on building out predictive models in the High Touch Markets businesses using classical quantitative techniques and modern machine learning methods.
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?
Designing predictive models using classical and modern machine learning techniques You will be responsible for implementation, testing, and production of models Working closely with the broader Markets businesses to understand and systematically enhance human workflow through use of predictive models and analytics Proactively identify problems/issues and provide resolutions to them Participating in team peer reviews of code, modelling and testing along with knowledge sharing and presentations
What We’re Looking For
Experience in FX: spot, forwards, NDFs, Swaps; Rates: govvies, futures, swaps; Prime: Equities or Fixed Income; Credit: corporate bonds, loans, cds, ETFs/portfolio; Equity structured notes/swaps PhD or Master’s degree in a quantitative, mathematical or scientific discipline (with good exposure to applied probability, modern applied statistics, machine learning) Commercial software development experience in python is essential Enterprise experience of building production quality infrastructure is essential
Skills That Will Help You In The Role
Proven experience of e-trading development Experience and understanding of cloud technologies
Where will you be working?
5 North Colonnade is home to our investment bank and is in the heart of Canary Wharf, just a short walk from our headquarters at Churchill Place. It boasts an array of onsite amenities such as dry cleaner as well as a deli and buffet style staff restaurant. The building is easily accessible by Tube, Docklands Light Railway and all major bus links. The atmosphere is second to none with a real buzz being created around the offices within.
18 Feb 2021 Full-time
About the job
Want to do the best work of your life? Make your mark at Europe's leading entertainment brand. Our people make Sky a truly exciting and inclusive place to work – a place where you can be yourself and let your skills shine
As a Network Data Scientist your responsibility will be to join the dots between infrastructure technology and development of software and analytics capabilities to model and manage Sky's network and to produce automation tooling to aid strategic planning and operational readiness
Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers.
What You'll Do Explore, evaluate and capitalise on risks and opportunities related to Internet Service Provider infrastructure technologies. Actively participate in the development of engineering roadmaps bringing together network technology evolution, network economics, network performance, and business and customer KPIs. Translate into code (software models) infrastructure designs and capacity management process leveraging your expertise in networks and your understanding of business challenges. Develop software-based network traffic forecasts, capacity and cost models. Develop automation scripts to enable systems integration and process improvement. Develop software systems and tools using industry standard frameworks to achieve network analytics and modelling objectives. Develop and support the ingestion, processing and analysis of data (pipelines) for modelling, reporting, visualisation and business intelligence purposes. Carry on analysis answering key business questions by applying an analytical mind-set. Quickly and efficiently process information from multiple sources. Work with stakeholders to interpret complex technical analysis and communicate them effectively. What You'll Bring Telecommunications industry experience (or similar, e.g. academia). BSc / MSc in Computer Science, Electrical Engineering or similar. Solid understanding of telecommunication networks. Genuine interest in Broadband (ISP) technology including IP networks. Keep on top of technology developments in the industry. Strong programming skills (ideally in Python) and SQL knowledge awareness are a must. Strong analytical skills and a consultative, proactive and join-the-dots approach. Knowledge of web frameworks (Django), Cloud environments (Google Cloud and/or Amazon AWS), DevOps (Docker/Kubernetes, CI/CD) and Agile principles Knowledge of data analytics, modelling and statistical analysis. Experience in systems development. The Rewards
There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:
Sky Q, for the TV you love all in one place
A generous pension package
Discounted mobile and broadband
Where you'll work
Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops.
The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk.
Recognised as an 'Inclusive Top 50 Employer' and a 'Times Top 50 Employer for Women', we're working hard to ensure we're a truly inclusive place to work.
This means we don't just look at your CV. We're more focused on who you are and the potential you'll bring to Sky. We also know that everyone has a life outside work, so, we're open to discussing where and when you do your job, as long as we can balance your needs with those of our customers.
And we'll do everything we can to support you during your application. If you need us to make any adjustments to our recruitment process, speak to our recruitment team who will be happy to support you.
New York United States
18 Feb 2021 Full-time
WeWork is the platform for creators, providing hundreds of thousands of members across the globe space, community, and services that enable them to do what they love and craft their life's work. Our mission is to build a world where people work to make a life, not just a living, and our own team members are central to that goal.
WeWork is building software for physical space that uses data and technology at each point in the building process, such that it can make better sourcing decisions, improve its designs, build faster and smarter, and ultimately improve the lives of the people working within its buildings.
Our engineering team is focused on empowering Sales & Commerce channels, to optimize operational efficiencies in the Sales cycle. We are a critical component to increasing the Sales funnel and membership occupancy, and driving WeWork’s comeback trajectory forward in a post-covid world!
Our state of the art technologies and dedication to innovation are key reasons why WeWork has been able to scale to a dominant global presence.
Responsibilities Act as a systems designer, leading designs of major software components, systems, and features owned by the team. Represent a squad and be a go-to person for a large area of technical expertise. Set and drive OKRs, and drive sprints for a squad given strategic or functional direction. Utilize design, coding patterns, tools and frameworks and methods to facilitate in effectively meeting the team sprint objectives and the overall quarterly team objectives. Drive feature development end-to-end and deliver large projects at quarterly level. Drive POC activities, initiation of new frameworks or services while taking hands-on role in execution. Active partner with product, design, and peer engineering leads and managers. Regularly give actionable feedback to team members, peers, and mentees. Have indirect influence beyond functional boundaries, such as with product on technical feasibility and roadmap, or with test engineering on tooling and execution needs. Align correlated systems across squads on common API patterns, practices, or other instrumentation. Motivate and mentor engineers on the squad to join or focus on a set of initiatives.
Requirements Minimum 6+ years of experience building scalable, performant, highly available critical systems. Demonstrated architecture skills at a multi-system level. Record of pragmatically leading teams to deliver well-tested, maintainable, well-monitored code in a timely manner that is responsive to rapidly changing requirements and business needs Experience working on teams with heavy emphasis on DevOps, Automation, CI/CD, and Quality Ability to work collaboratively and communicate effectively across Design, Data Science, Product, and business teams. Experience with relational databases (eg MySQL or PostgreSQL) Growth mindset that embraces working with both new and legacy systems in familiar and unfamiliar technologies. Experience in at least one of our frequently used languages (Java with Spring Boot, Kotlin, Go, Ruby on Rails) is helpful.
We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Boston United States
18 Feb 2021 Full-time
Qualifications MSc or PhD level in the field of computer science, machine learning, applied statistics or mathematics Experience in statistical modelling and machine learning techniques Programming experience in at least two of the following languages R, Python, Scala, SQL Experience in applying data science methods to business problems Experience in applying advanced analytical and statistical methods in the commercial world Good presentation and communication skills with the ability to explain complex analytical concepts to people from other fields
Who You'll Work With You will be based in our Boston office as part of QuantumBlack.
You will work with other data scientists, data engineers, machine learning engineers, designers and project managers on interdisciplinary projects using maths, stats and machine learning to derive structure and knowledge from raw data across various industry sectors.
Who You Are
You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritising impact. You search for ways to improve things and work collaboratively with colleagues. You believe in iterative change, experimenting with new approaches, learning and improving to move forward quickly.
What You'll Do You will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally.
You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role Responsibilities Work on complex and extremely varied data sets from some of the world’s largest organisations to solve real world problems Develop data science products and solutions for clients as well as for our data science team Write highly optimized code to advance our internal Data Science Toolbox Work in a multi-disciplinary environment with specialists in machine learning, engineering and design Add real-world impact to your academic expertise, as you are encouraged to write ‘black’ papers and present at meetings and conferences should you wish Attend conferences such as NIPS and ICML as one global team as well as Data Science retrospectives where you will have the opportunity to share and learn from your co-workers.
What You’ll Learn How successful projections on real world problems across a variety of industries are completed through referencing past deliveries of end to end machine learning pipelines Build products alongside the Core engineering team and evolve the engineering process to scale with data, handling complex problems and advanced client situations Be able to focus on modelling by working alongside the Data Engineering team which focuses on the wrangling, clean-up and transformation of data. Best practices in software development and productionize machine learning by working with our Machine Learning Engineering teams which optimize code for model development and scale it Work with our UX and Visual Design teams to interpret your complex models into stunning and user-focused visualizations Using new technologies and problem-solving skills in a multicultural and creative environment You will work on the frameworks and libraries that our teams of Data Scientists and Data Engineers use to progress from data to impact. You will guide global companies through data science solutions to transform their businesses and enhance performance across industries including healthcare, automotive, energy and elite sport. Real-World Impact– No project is ever the same; we work across multiple sectors, providing unique learning and development opportunities internationally. Fusing Tech & Leadership– We work with the latest technologies and methodologies and offer first class learning programs at all levels. Multidisciplinary Teamwork- Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance. Innovative Work Culture– Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions. Striving for Diversity– With colleagues from over 40 nationalities, we recognize the benefits of working with people from all walks of life. Our projects range from helping pharmaceutical companies bring lifesaving drugs to market quicker to optimizing a Formula1 car’s performance. At QuantumBlack you have the best of both worlds; all the benefits of being part of one of the leading management consultancies globally and the autonomy to thrive in a fast growth tech culture Healthcare Efficiency– We helped a healthcare provider improve their clinical trial practices by identifying congestion in diagnostic testing as a key indicator of admissions breaches. Environmental Impact– We designed and built the first data-driven application for a state of the art centre of excellence in urban innovation by collecting real-time data from environmental sensors across London and deploying proprietary analytics to find unexpected patterns in air pollution. Product Development– We worked with the CEO of an elite automotive organization to reduce the 18-month car development timeframe by improving processes, designs and team structures. Visit our Careers siteto watch our video and read about our interview processes and benefits.
New York United States
18 Feb 2021 Full-time
The financial industry thrives on data driven decision making. You will be joining the team that builds and operates foundational platform, used by the rest of Goldman Sachs to apply data science and machine learning to the daily operations of the firm. We take the best components from open source and major cloud providers and adapt and expand them to accommodate unique needs of the firm. The resulting systems are not only part and parcel of the daily life of hundreds of Goldman Sachs data scientists, but also play critical role in the experience of thousands of Goldman Sachs clients.
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our businesses. Our dynamic environment requires strategic thinking that is innovative and produces smart solutions.
The Goldman Sachs Data Science and Machine Learning Platform team provides high-impact solutions for our data scientists responsible for solving problems of significant business value across multiple divisions of the firm. We build scalable and resilient systems using predictive modeling, natural language processing, anomaly detection, time series forecasting, deep learning, and other techniques on high-volume and high-velocity data.
How You Will Fulfill Your Potential
A true greenfield opportunity, you will join the team as we embark on creating new, scalable and resilient data science tools for a complex industry. You will collaborate with data scientists and business leaders to understand challenges facing the firm and its clients. Your design and development work will contribute to a world-class client experience and optimize business performance.
Responsibilities And Qualifications
SKILLS & EXPERIENCE WE’RE LOOKING FOR
Basic Qualifications 2+ years of experience in systems using machine learning and other artificial intelligence techniques Working knowledge of more than one programming language (Python, R, Java, C++ etc.) Experience building and operating distributed systems on the cloud Experience working closely with data scientists and appreciation for their unique workflow Excellent interpersonal, communication and presentation skills, both written and verbal Ability to stay commercially focused and to always push for quantifiable commercial impact Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner
About Goldman Sachs
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers .
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https:// www.goldmansachs.com/careers/footer/disability-statement.html
New York United States
18 Feb 2021 Full-time
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.
Performance Advertising’s vision is to enable advertisers of all sizes with self-service products to build their brand and business at Amazon delivering sophisticated automation for novices and powerful controls for expert users. We are focused on continuous exploration of contexts and creative formats where advertising delivers value to customers and advertisers. Our products are auction based, cost-per-click, and drive traffic within the Amazon shopping experience addressing lower and mid-funnel marketing goals. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class, highly performant advertising products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing fast with a seemingly endless range of new opportunities.
Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning scientists to come up with novel solutions that deliver highly relevant ads. We consistently strive to improve the customer search and detail page experiences. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of e-commerce.
Job Responsibilities Contribute to the technical direction of our offerings and solutions Work with many different technologies across the sponsored products organization Design, code, troubleshoot, and support scalable machine-learning pipelines and online serving systems Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions Impact And Career Growth Sharpen your Machine Learning skills Opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation This is an opportunity to make a significant impact on the future of the Amazon vision. If you are looking to make an impact, this is the team for you. You will not only have the satisfaction of seeing your work deliver results, but also help shape our engineering and product roadmaps. Change the world by accepting this Machine Learning Software Development Engineer role today!
Basic Qualifications 2+ years of non-internship professional software development experience Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. Preferred Qualifications Experience in building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, or search, etc Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza Strong proficiency with Java, Python, Scala or C++ Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing Advanced knowledge of performance, scalability, enterprise system architecture, and engineering best practices
Menlo Park, New York United States
4 Feb 2021 Full Time
Facebook is seeking a Partner Engineer to join Facebook AI/PyTorch Partnerships team, a highly technical team that works with strategic partners and lighthouse customers to help them grow and monetize using Facebook’s AI/PyTorch frameworks and tools.
In this role, you will engage with some of the world's most influential companies and work closely with our world-class engineering and AI research teams.
The ideal candidate will have industry experience working on a range of deep learning, machine learning, computer vision, natural language processing, recommendations systems, conversational AI, forecasting, reinforcement learning problems e.g. for image classification, object detection, neural machine translation, medical image diagnostics, drug discovery, fraud detection, adversarial ML.
You will also represent Facebook at developer conferences and events. You may be required to develop technical accelerators, case studies, white papers, blogs, reference implementations, labs, or presentations to evangelize Facebook’s AI/PyTorch design patterns and best practices.
Partner Engineer, AI Responsibilities:
- Deeply understand Facebook’s AI/PyTorch frameworks and products and their underlying implementation
- Define and execute on a strategy to drive adoption of Facebook's AI/ML offerings
- Work closely with our strategic partners on deep learning integrations
- Be a subject matter technical expert, and have strategic influence on partners and internal teams at Facebook
- Provide Thought Leadership, Evangelize Facebook’s AI/PyTorch services and share best practices through forums such as medium blogs, white papers and reference architectures
- Develop reference architectures, samples and other materials to share with the broader Facebook developer community
- 5+ years of professional experience in software development in - languages like Python, Java, Scala, C/C++.
- Experience working with RESTful API and general service oriented architectures
- 1+ years experience in the field of AI, Machine Learning, Deep Learning and related technologies.
- Experience with at least one Deep Learning framework such as PyTorch, TensorFlow, MXNet, Caffe
- 2+ years design/implementation/consulting experience building cloud solutions on any cloud
- Experience communicating and presenting to technical and business audiences
- Experience influencing and building mindshare convincingly with any audience
- Experience working with internal and external partners
- Data science background and experience manipulating/transforming data, model selection, model training, cross-validation and deployment at scale
- Experience deploying production-grade machine learning solutions on public cloud platforms
- Knowledge of Mobile/IoT for deploying ML models at the edge
- BS in Computer Science or equivalent degree/experience
Montreal / remore Canada / remote
1 Feb 2021 FT/PT/Contract
Sama is looking for a Content Writer with technical knowledge of AI and Machine Learning to broaden our digital footprint, create content to map back to each stage of our marketing funnel, and create a cohesive voice. The Content Writer will collaborate with R&D, Product, and Marketing teams to get a deep understanding of our product and target audience. The Content Writer will research topics and industry trends and produce content to tight deadlines. Excellent grammar and writing skills, including familiarity with industry terminology, are required for this position.