Senior Business Data Scientist, Global Business Strategy

Position Overview

In this Senior Business Data Scientist role at Google, you will be a key data science lead for our Global Business Strategy & Operations partners. You will own the full data science lifecycle for high-impact, ambiguous business problems – from data collection and analysis through to strategic recommendations and implementation. You’ll work closely with survey analytics programs and cross-functional teams while having the flexibility to pivot based on evolving business needs.

Applicants may work from various locations including San Francisco, Playa Vista, New York, Atlanta, Mountain View, Los Angeles, and Washington D.C. All qualified candidates, including those with arrest or conviction records, will be considered in accordance with applicable local fair chance ordinances.

Key Responsibilities

• Lead the data infrastructure and analytics for critical survey programs – from designing data pipelines and tooling to executing advanced statistical analysis and generating strategic insights.
• Own the full data science lifecycle by applying expertise in causal inference, predictive modeling, and descriptive analytics to solve complex business problems.
• Manage ambiguous problems by diving into complex datasets to build creative, scalable solutions including automated data pipelines, BI infrastructure, and dashboards.
• Act as a data storyteller and strategic partner by translating complex findings into compelling narratives and recommendations for senior-level executives and various teams.

Required Qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, or Sciences; or equivalent practical experience.
• At least 4 years of experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), database querying, or statistical analysis.
• Proven experience in designing and implementing causal inference methods.

Preferred Qualifications

• Around 6 years of experience using analytics to solve business problems through coding (e.g., Python, R, SQL), querying databases, or statistical analysis.

Benefits & Perks

• Compensation: US base salary range of $166,000-$244,000 + bonus + equity + benefits. Salary is determined by role, level, location, and individual qualifications.
• Location Flexibility: Opportunities available across multiple campuses and cities including New York, Atlanta, Mountain View, Los Angeles, San Francisco, and Washington D.C.
• Comprehensive benefits package and commitment to equal opportunity employment, including support for applicants with disabilities.