Manager, Data Science 1

Lead data science initiatives for the View Item product area, influencing product, engineering, and business decisions through advanced analytics and ML.

Own success metrics, measurement frameworks, and experimentation roadmaps to enable faster, data-driven decisions in product development.

Design and interpret A/B tests and predictive models to improve buyer experience and guide long-term e-commerce strategy.

At least 7 years experience in analytics, data science, or related quantitative field with a focus on product decisions, preferably in e-commerce or consumer technology.

Proficient in SQL and one or more programming languages such as Python or R, with experience handling large-scale data.

Experience applying statistical methods, experimentation, and machine learning to solve complex business problems.

Bachelor’s degree or equivalent in Computer Science, Mathematics, Economics, Physics, Engineering, or related field; advanced degrees are a plus.

Experienced in building and leveraging advanced statistical and ML models, including familiarity with ensemble, deep learning, or transformer methods.

Comfortable operating in ambiguous, strategic environments and translating complex data insights into clear, actionable product recommendations.

Able to collaborate cross-functionally with senior stakeholders and influence product roadmaps through data-driven thought leadership.