Find your next talent
5 Nov 2021
Remote United States
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.
The Instagram Well-Being organization is working on ensuring that Instagram is a positive force in people’s life, the most important job we have over the next few years at Instagram. We want to make sure that people feel safe and supported when connecting with the people and things they love, and that people feel the freedom to express themselves on the platform. A core part of delivering on that, is making sure that people are safe from harm when they use Instagram, feel supported by Instagram when they need it, and are enabled to support each other and their communities. This includes ensuring that people are not exposed to harmful content or accounts, user interactions on the platform are safe, user accounts and data are secure and that civic expression on Instagram is authentic and safe from foreign interference. To do this, we build large-scale complex systems, state-of-the-art Machine Learning, and operate an infrastructure to enable detection, classification, and remediation of content, behaviors, and bad actors that contribute to bad experiences for our community. At the heart of the Instagram Well-being organization is the data science team whose empirical studies and rigorous analyses shape the direction of Well-being product development, striving to protect Instagram users and their data and enables seamless development of safe and supportive products. We're looking for Data Scientists to support the Instagram Well-being foundation team, that focuses on solving user problems through improved risk assessment and classification of complex entities, discoverability, transparency and recommendability as well as building the best tooling and platform solutions to keep users safe and supported.We are looking for hands-on problem solvers with strong communication skills and ability to influence and drive outcomes. You will work in close partnership with a top-notch group of researchers and data scientists across Facebook, Inc. to translate user research and guidance from technical experts into data-driven product strategies. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your strategic thinking and ideas turned into real products on a regular basis. You should be flexible and comfortable working in a cross-functional capacity within a fast-paced, multidisciplinary environment. Additionally, we’re looking for individuals who are truly passionate and have demonstrated success in developing and implementing strategies that address behavioral and contextual user needs.
Responsibilities • Drive strategic organization wide data science initiatives and serve as tech lead on critical data science projects within the Well-being’s Foundations pillar. • Be a strategic partner for Well-being in identifying high impact analytical problems and find innovative ways to tackle these problems via data analysis, experimentation, and statistical modeling. • Evolve our measurement strategy by identifying novel metrics and measurement approaches to guide product strategy, goaling and experiments. • Provide technical and product mentorship to members of Well-being data science to ensure continual up-leveling of our expertise. • Drive or partner to execute on high priority learning/measurement initiatives for Well-being, Instagram, and Facebook. • Establish strong trusted relationships with the data science and product communities of Instagram and Facebook.
5 Nov 2021
Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them.
We are looking for a Senior Data Scientist to join our Experience insights team. To help us drive and support evidence-based design and product decisions throughout Spotify's product development process.
As part of our team, you will study user behaviour, strategic initiatives, product features and more, bringing data and insights into every decision we make. Your work will impact how we think about our users, our ability to identify and satisfy their needs, and build compelling customer support offerings and experiences informed by those needs. This is a highly impactful role where you and the rest of the team will be able to directly impact how millions of Spotify users are supported around the world.
What You’ll Do • Co-operate with cross-functional teams of data scientists, user researchers, product managers, designers and engineers who are passionate about our consumer experience. • Perform analysis on large sets of data to extract impactful insights on user behaviour that will help drive product and design decisions. • Communicate insights and recommendations to stakeholders across Spotify. • Be a key partner in our work to build out our product strategy so that we are relevant in the daily lives of consumers.
15 Oct 2021
Our people work differently depending on their jobs and needs. From home working to job sharing, go to remote and flexible working to find out more.
This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.
Join us as a Senior Data Scientist
• We’re currently looking for people to join our Data Science & Innovation, Climate, Marketing, Commercial, Finance & Fraud, Fin Crime and Service Analytics teams. • You’ll be identifying and working with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed • We’ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data • This is an opportunity to achieve excellent exposure in a challenging role and to make a real impact with your work
What you'll do
As a Senior Data Scientist, you’ll be evaluating and improving business processes and products using scientific rigour and statistical methods. You’ll be managing and leading with multidisciplinary teams of data engineers, data scientists and analysts in project teams, coaching and leading as appropriate.
You’ll also be:
• Developing and deepening your knowledge of data structures and metrics, advocating for changes where needed for product development • Communicating effectively across our functions and franchises to draw conclusions from your work and present findings and recommendations to senior non-technical stakeholders • Conducting analysis that includes data gathering and requirements specification in collaboration with business stakeholders • Proposing methods and building prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment • Identifying new methods, tools, techniques and opportunities to deliver business value via cost reduction, income generation or improved customer experience through the application of data science
5 Nov 2021
Citi’s Innovation Lab is a research and development greenhouse hosting cutting edge projects, breaking new ground in the global FinTech arena.
The lab offers a unique opportunity to influence and take part in the shaping of a new long-term venture, backed by one of the world’s largest financial establishments.
To support our activity and expansion, we are seeking senior, hands data scientist to join the team.
We believe the future’s here. Right here with us. Home to where we define, ideate, develop and distribute production-ready financial solutions of far-reaching impact to clients depending on our ingenuity to achieve and grow in 160 countries. And right now, the door’s open to direct the future of technology for that truly global client base. This means collaborating with the keenest minds in data science, big data, software engineering, web development, UX design and more. Doers looking to bring the next bold ideas to life for a fascinating array of people, people already investing, trading and transacting at the forefront of change in markets and economies the world over. If you too have that kind of vision, capable of seeing ahead, of developing a clear path forward in a quest to try the untried, here’s your opportunity. In a supported, resource-rich, vibrant co-working environment, part of an ecosystem of globally interconnected labs, realising a broader mission of enabling growth and economic progress on a scale you won’t find anywhere else. Welcome to our London Innovation Lab.
We are looking for a Data Scientist to help us discover information contained in vast streams of online and offline time-series data, enabling us to make data-driven decisions based on an enhanced understanding of our business performance in the financial markets.
Your primary focus will be in applying data mining techniques, statistical analysis and feature selection in the training, testing and validation of models to be integrated into our financial markets decision-making systems and processes.
You will work closely with product owners and team members to design, build and integrate targeted client solutions into one of our existing well-supported platforms, or through new channels as required. To meet client demand, our project lifecycles are measured in months, not years, presenting many opportunities to take on new challenges.
• Feature engineering and selection • Working across a range of disciplines, from NLP to time series analysis, to risk modelling and pricing • Model selection, training, testing and validation • Model visualisation, demonstration and documentation, in an online form such as an interactive notebook or single-page application • Work closely with product owners to develop client solutions for new and existing channels
30 Sep 2021
14 Jul 2021 Full-Time
Description EnsoData seeks to recruit, hire, and retain the most talented people from a diverse candidate pool. We strongly encourage folks of all backgrounds to apply. To learn more about our ongoing commitment to diversity, check here for quarterly updates.
EnsoData, a fast growing, venture-backed startup based in Madison, WI, is seeking an experienced candidate for the position of AI & Machine Learning Engineer, a fundamental part of the EnsoData technology team that will take ownership of critical AI/ML development initiatives, design and implement ML systems built on terabytes of health data that power core EnsoData products and services, and delight live healthcare customers with the very best performance achievable.
Our goal at EnsoData is to provide artificial intelligence powered software services that create massive cost and time savings for frontline clinicians, allowing them to spend more time with patients and less time with data; improving both patient and provider satisfaction, and patient outcomes. Our first product, EnsoSleep, uses our machine learning engine with Big Sleep Data to save clinicians hundreds of hours per month by automating one of the most arduous and repetitive data annotation tasks in all of healthcare - sleep study scoring.
Perform research to make machine learning solve impactful issues in healthcare. Provide research input on healthcare problems: evaluate scope of the problem, the best place to apply machine learning, and evaluate different approaches. Collaborate with multi-displinary team of software engineers and clinicians to design and run experiments, including designing and evaluating new algorithms as well as implementing known algorithms. Report and present experimental results and research findings clearly and efficiently, both internally and externally. Engage as members of the applied research community, by validating and contributing to advances in ML. Implement distributed training processes leveraging the world's largest computational accelerators (GPU+TPU). Requirements Minimum qualifications:
BS in computer science, engineering, or a related discipline. Solid software engineering skills for prototyping. Experience implementing and validating machine learning models Good knowledge of algorithm design. Personal qualities of integrity, perseverance, and commitment to the mission at EnsoData Preferred qualifications:
MS/PhD in computer science, engineering, or a related discipline. Experience in applying ML to real world problems. Strong expertise in deep learning. Publication track record in machine learning and healthcare conferences and/or journals. Competent in python and modern deep learning libraries (tensorflow,keras) A real passion for AI Culture:
Gets things done Goes above and beyond Doesn’t cut corners Shares knowledge Spreads good vibes Delights customers
Benefits In addition to a competitive salary ($100k-$150k), equity in a high-growth startup, and standard benefits including health care, you will have a transformative impact on company culture and success. In this position, you will have the opportunity to grow personally and professionally to help build a world-class data science team, own critical EnsoData R&D initiatives, and serve as a key member of the EnsoData technical leadership team.
Remote Work EnsoData supports both fully remote and local employees! Expectations for employment are 40 hours/week. Our headquarters are located in Madison, WI but you can live anywhere with US work visa!
Recruiting Process We have a simple, concise, and effective recruiting process to find the most qualified and best fit for our team:
Initial phone screen with Sam Rusk, Co-founder and Head of AI Take home technical evaluation (2-4 hours est time) Technical interview with our AI Team (1 hour) to review technical evaluation and evaluate other technical knowledge. Job Offer!
Diversity, Equity, and Inclusion Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you’re a great fit, but don't necessarily check every box on the job description, please still get in touch.