Principal Data Scientist, Product & Pricing Analytics

About the positionResponsibilities• Serve as the embedded product data science partner in a cross-functional team responsible for pricing and product experimentation at Udemy, including PMs, Engineers, and Marketers. • Work with the team to develop a rich program of experimentation to improve the revenue performance of our consumer marketplace including metric creation, experiment design, power analysis, and analysis of experiment results. • Use advanced analytics techniques (e.g., clustering, regression, forecasting) to uncover insights that shape how we serve consumer accounts.• Drive data-informed decision-making within the Product and Pricing teams by equipping PMs, Marketers and Engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team. • Measure price elasticities, average selling prices, and conversion rates in our marketplace, and use those metrics to help brainstorm potential price experiments to drive revenue gains. • Work with Udemy's Pricing & Promotions team to quantify, understand, and prioritize improvements to our pricing system.Collaborate with Data Engineering to improve data pipelines and access. Requirements• Bachelor's degree in a relevant technical field, or equivalent practical experience. • 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD), with past work in product, customer and/or pricing analytics strongly preferred. • Expert-level SQL and Python skills; experience with Databricks or similar cloud data warehouses. • Broad knowledge of applied statistics, experimental design, and analysis of A/B tests.• Experience working with Github and bolthires/CD code review processes. • Experience building automated data pipelines using tools like Airflow and dbt. • Exceptional data storytelling and data visualization ability. Nice-to-haves• Experience with Tableau, and a strong eye for visual storytelling and usability, is a big plus. Apply tot his job