Airtable's unique approach to enabling end-user software creation has struck a chord with users across many industries and use cases. Our accelerating growth, coupled with our ambitious product surface area, brings many challenges. As one of the founding members of the Data Science team, you will play a crucial role in shaping the future of Airtable by deepening our understanding of how people use the open-ended toolkit that Airtable offers. You’ll work cross-functionally to identify and answer our most important questions, transforming raw data into understandable and actionable insights.
As a data science intern focused on content, you’ll be partnering with business leaders, marketers, sales representatives, and engineers to identify, scope, and execute on data-centric analyses that drive Udemy’s content strategy. Project areas include market intelligence, content curation, and marketplace health insights.
We are looking for a Data Science leader that empowers others to make creative and strategic decisions. You will build tools that remove barriers to entry and empower others to do analysis. Our definition of tools is wide. It can be anything from a tool that lets us run prescriptive modeling on reader retention, to a thinking framework around how to determine if a story is of high quality or not.
ABOUT THE ROLE:
Data Scientists in our Insights track draw on a combination of quantitative methods and business intuition to find actionable insights that drive key business decisions at Udemy, answering questions such as: what metrics should business areas be monitoring and goaling against? what are potential causes for changes in customer behavior? what are the bottlenecks in our conversion funnels? what issues do instructors face in the
ABOUT THE ROLE:
From building the world’s most comprehensive knowledge graph to enabling content discovery across Udemy’s catalog of over 100,000 courses, Data Scientists at Udemy develop the algorithms and models that drive Udemy’s two-sided marketplace by combining software engineering best practices with rigorous quantitative approaches.
As a Data Scientist in our Algorithms track, you will be partnering with product managers,
ABOUT THE ROLE:
Data Scientist in our Inference track draw on a combination of complex experiments, causal inference methods, and business intuition to find actionable insights that drive key business decisions at Udemy, answering questions such as: what makes a course great? are ratings a reliable signal of course quality in a two-sided marketplace? how should courses be priced to reflect their value? what are the drivers of long-term customer
As a Senior Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We tackle a multitude of exciting challenges including customer acquisition, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we’re looking for someone like you!
Credit Karma is a mission-driven company, focused on championing financial progress for our more than 100 million members in the U.S., Canada and U.K. While we're best known for pioneering free credit scores, our members turn to us for tips as they work on their financial goals, including helping them monitor their credit, identity monitoring, searching for credit cards, shopping for loans (car, home and personal), filing their taxes with Credit
We are looking for an exceptional Senior Data Scientist to join our diverse set of researchers, analysts and machine learning engineers. These are true product management roles that guide development of our products, shape the future of advertising and help marketers and agencies to connect with their audiences.
Gusto is looking for an experienced and ambitious product analyst to help us leverage our data to inform product direction and strategy. In this role you will work closely with our Engineering, Product and Design teams to define and track product metrics, design customer-facing experiments and dive deep into our Payroll, Benefits and HR data to deliver insights. As the most experienced product analyst on our Data Science team, you will also help define and build our approach to data-informed product development from the ground up.
Manage a team focused on protecting Credit Karma members.
Hands-on approach. You'll be designing and implementing fraud systems, models and technology.
Leading, controlling, and measuring performance of strategies to control fraud, enhance account security, achieve enterprise fraud and KPI goals.
Makes sure OKRs are hit with quality.
Communicate clearly and concisely in high stress situations.
As a machine learning data scientist, you will have the opportunity to leverage our robust data and machine learning infrastructure to develop models that impact millions of users across our three audiences and tackle our most challenging business problems. You will report into the Head of Data Science and work with data scientists, engineers, and product managers to develop and iterate on models to help us grow our business.