Senior Business Data Scientist

About The Role

As a Senior Business Data Scientist at Google, you will be a crucial part of the Global Business Strategy and Operations team. Your primary mission is to empower our partners to make the best possible decisions using robust data analysis. This role involves immersing yourself deeply in data, extracting insights, and developing compelling, synthesized recommendations for Google's leadership. You'll not only communicate these recommendations to senior-level executives but also play a hands-on role in driving their implementation and tracking their impact. You will own the full data science life-cycle for ambiguous business problems, from initial analysis to recommendation, driving value across core BI, data pipelining, dashboarding, and advanced causal/correlational modeling. Your focus will be on transforming our Policy, Risk, and Compliance strategy by producing and presenting insights that directly influence business outcomes, requiring agility to pivot with evolving high-stakes priorities.

This role may also be located in our Playa Vista, CA campus.

Responsibilities

• Own the full data science life-cycle, applying expertise in causal inference, predictive modeling, data infrastructure, and descriptive analytics to build frameworks that solve business problems.
• Lead analytics and strategy for the Policy, Risk, and Compliance partner team, overseeing the process from data pipeline and tool design to advanced statistical analysis and the generation of insights.
• Partner with stakeholders across StratOps and other Analytics teams to translate ambiguous, high-priority business problems into clear, data-driven strategies and decisions.
• Address ambiguous problems by diving into messy datasets, then use an expert toolkit (e.g., SQL, R, and Python) to find creative, scalable solutions and build automated data pipelines, BI infrastructure, and dashboards from the ground up.

Minimum Qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Preferred Qualifications

• 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Experience with ads policy, risk, or compliance.

Key skills/competency

• Data Science
• Business Strategy
• Data Analysis
• SQL
• Python
• R
• Causal Inference
• Predictive Modeling
• Data Pipelining
• Dashboarding