Senior Data Scientist, Search Platform & Causal ML

Google; Cambridge (MA); On-site; USD 174,000 - 253,000; Full time

Job summary

Google is seeking a Data Scientist for the Search Platform Data Science team. You will pioneer methodological innovations to improve the end-to-end user experience, applying causal inference and ML to measure and optimize performance across Search systems.

Responsibilities include building scalable analysis pipelines, presenting strategic recommendations to leadership, and collaborating with cross-functional teams to advance Google Search products globally.

Qualifications

• Master's degree in a quantitative field (Statistics, Data Science, Math, Physics, Economics, or related field).
• 5 years of analytics experience, coding (Python, R, SQL), querying databases or statistical analysis, or 3 years with a PhD.

Responsibilities

• Extract strategic insights from large and complex datasets spanning client-side and server-side logs. Use advanced methodologies to optimize the user experience.
• Execute end-to-end analyses: data ingestion, processing, modeling, and professional presentations. Build scalable analysis pipelines.
• Collaborate cross-functionally with engineers and product teams to identify opportunities for AI product improvements.
• Present findings to leadership, estimating growth headroom, cost-benefit of optimizations, and marketing impact.

Skills

Python

R

SQL

Statistics

Data analysis

Education

Master's degree in quantitative field

PhD in related field

Job description

Google is seeking a Data Scientist for the Search Platform Data Science team. You will pioneer methodological innovations to improve the end-to-end user experience, applying causal inference and ML to measure and optimize performance across Search systems.

Responsibilities include building scalable analysis pipelines, presenting strategic recommendations to leadership, and collaborating with cross-functional teams to advance Google Search products globally.