The Product Data Scientist for Sellside Ads at Google will work within a team of product analysts and data scientists to tackle complex, data-intensive challenges in the Ads product area. This role involves providing product analytics, conducting in-depth analyses, and developing metrics and dashboards to support strategic decisions. The team collaborates closely with product managers and engineers to shape business strategies using data-driven insights. The position focuses on analyzing large datasets from real-time ad auctions and studying engagement, customer loyalty, and competitive positioning.

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with analysis applications and coding, or 2 years of experience with a Master's degree.

• Make decisions from data and prioritize requests from different stakeholders.
• Collaborate with analysts supporting product managers and engineering teams for sellside products.
• Conduct ad-hoc deep dives into experiments and product performance to prioritize resource investments.
• Analyze and communicate upcoming risks and opportunities to the business.
• Develop infrastructure to scale and support existing analyses, presenting findings to decision-makers.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.