Global Biz Strategy Data Scientist — Incentives & Analytics

Google; Mountain View (CA); On-site; USD 138,000 - 197,000; Full time

Job summary

Google's BizOps team seeks a data-driven professional to own data science life cycles, from initial analysis to strategic recommendation. You will lead data infrastructure, causal analysis, and dashboards that shape incentive design and business decisions.

Expect collaboration with Strategy, Finance, and cross-functional partners, delivering data-driven insights to executives and driving impact across ads strategy and operations.

Qualifications

• Master's degree in a quantitative discipline or equivalent practical experience.
• 3 years of analytics experience solving product/business problems with coding and SQL.
• PhD degree is a plus.

Responsibilities

• Lead analytics, data infra, and measurement methodologies for seller incentives.
• Collaborate with Strategy, Operations, and Finance to translate problems into data-driven choices.
• Own the full data science life-cycle: analysis, modeling, recommendations.
• Build scalable data pipelines, SQL/R/Python-based solutions, and BI dashboards.
• Translate findings into narratives that influence senior leaders and teams.

Skills

Python

R

SQL

Statistics

Analytics

Stakeholder management

Communication

Education

Master's degree in quantitative discipline

PhD degree (preferred)

Tools

SQL

Python

R

BI dashboards

Job description

Google's BizOps team seeks a data-driven professional to own data science life cycles, from initial analysis to strategic recommendation. You will lead data infrastructure, causal analysis, and dashboards that shape incentive design and business decisions.

Expect collaboration with Strategy, Finance, and cross-functional partners, delivering data-driven insights to executives and driving impact across ads strategy and operations.