• Define team roadmap and prioritization, coordinate resources, provide technical leadership in-line with the long-term objectives, support and develop the team through mentorship and ongoing feedback.

• Provide investigative thought leadership through proactive and strategic contributions, consistently use insights and analytics to guide decisions and alignment throughout the organization.

• Define product success metrics and provide problem-solving Point of View (PoV) in various performance/strategic reviews. Synthesize insights across multiple investigative projects to provide investigative recommendations to influence and manage the development of overall, long-term product development strategies.

• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.

• Anticipate and proactively address investigative challenges as a trusted authority and critical domain expert. Separately conduct problem framing through to impact problem-solving, including analysis and business cases.

As a Product Data Science Manager in the Play Apps team, you will collaborate with stakeholders across Play Apps to define metrics and lead a team of data scientists to deliver impactful analysis. You will be responsible for setting the team's goal, priorities, and roadmap to support our partner Product Management and Engineering teams. You will play an integral role in setting Objectives and Key Results (OKRs) for partner work streams and providing thought leadership to unlock insights. The artifacts your team develops will be key inputs for product development and operational decisions.

In this role, you will lead and mentor data scientists to deliver strategic insights and high-quality data models that influence product and business strategy, enabling teams to make critical decisions that delight users and grow our business.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

• 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with an advanced degree.

• 3 years of experience as a people manager within a technical leadership role.