JobsBusiness Data Scientist, Applied Machine Learning, GCS
Business Data Scientist, Applied Machine Learning, GCS
GoogleBusiness Data Scientist, Applied Machine Learning, GCS
GoogleLocation
Mountain View, CA
Type
Full-time
Posted
7/8/2026
Compensation
$138,000 - $198,000 per year
Master's with 2+ Years of Experience
PhD Entry-Level
Approval 99%·Filings 5,616·New hires 2,898·
👑 Elite Sponsor
·FY 2025Job description
The Business Data Scientist role at Google focuses on applying machine learning to solve complex business challenges for the Global Business Organization. The position involves working within the GCS Data Science team to build efficient and scalable ML models that assist small and midsize businesses. Candidates will engage in data collection, analysis, and the development of actionable recommendations for senior executives. The role requires a passion for problem-solving using advanced research in applied deep learning and causal inference.
Requirements
- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- PhD in a quantitative discipline such as Computer Science, Engineering, Economics, Statistics, Mathematics, Physics, Neuroscience, or equivalent practical experience is preferred.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree is preferred.
Responsibilities
- Design, develop, and validate robust causal inference models to isolate the incremental impact of GCS programs.
- Partner with business teams to design and execute A/B tests, defining the sample sizes, power analyses, and success metrics required for valid results.
- Track the latest academic research in Causal ML and Econometrics, proactively prototyping new methods to improve the precision of impact estimates.
- Translate highly technical methodologies into clear, prescriptive business narratives for non-technical executive audiences.
- Establish comprehensive monitoring systems to track model performance, detect data drift, and ensure the ongoing accuracy of deployed measurement frameworks.
Benefits
- Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.
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