Global Business Strategy Data Scientist - Incentives

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

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google LLC is seeking a Business Data Scientist in Mountain View to lead analytics and shape data-driven decisions for Go-to-Market strategy. You will own the data science lifecycle, drive causal inference, and build scalable data pipelines and dashboards that inform executive decisions.

The role collaborates with Strategy, Finance, and Operations to optimize seller incentives and measure impact, with responsibilities spanning data collection, analysis, and communication of insights across

Qualifications

• Master's degree in a quantitative discipline or equivalent practical experience.
• 3 years of analytics experience solving product or business problems, with coding (Python, R, SQL) and data querying.

Responsibilities

• Lead analytics, data infrastructure, and measurement methodology for seller incentives.
• Partner with Strategy, Operations and Finance to translate business problems into data-driven strategies.
• Own the full data science life-cycle, applying causal inference and predictive modeling to business problems.
• Build automated data pipelines, BI infrastructure and dashboards using SQL, R, and Python.
• Translate findings into compelling narratives for executive stakeholders.

Skills

Analytics

Python

SQL

R

Stakeholder management

Education

Master's degree in a quantitative discipline

PhD degree (optional)

Tools

BI infrastructure

Data pipelines

Job description

Google LLC is seeking a Business Data Scientist in Mountain View to lead analytics and shape data-driven decisions for Go-to-Market strategy. You will own the data science lifecycle, drive causal inference, and build scalable data pipelines and dashboards that inform executive decisions.

The role collaborates with Strategy, Finance, and Operations to optimize seller incentives and measure impact, with responsibilities spanning data collection, analysis, and communication of insights across