Data Scientist, Causal ML for Business Growth

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

Job summary

Google is seeking a BizOps/Data Science professional to join the GCS Data Science team in the United States. You will build scalable ML models to help small and midsize businesses grow using Google solutions, and you will communicate insights to senior leadership.

You will design causal inference methods, run A/B tests with business teams, monitor model performance, and translate complex analytics into clear recommendations. A strong quantitative background and publications experience are valued.

Qualifications

• 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.

Responsibilities

• Design, develop, and validate robust causal inference models (e.g., Synthetic Control, Difference-in-Differences, Double Machine Learning) 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.

Skills

Python

R

SQL

Analytics

Education

Master's degree in quantitative discipline

PhD in a quantitative discipline

Tools

SQL

Job description

Google is seeking a BizOps/Data Science professional to join the GCS Data Science team in the United States. You will build scalable ML models to help small and midsize businesses grow using Google solutions, and you will communicate insights to senior leadership.

You will design causal inference methods, run A/B tests with business teams, monitor model performance, and translate complex analytics into clear recommendations. A strong quantitative background and publications experience are valued.