Data Scientist at Google

Seniority in posting: Advanced

Compensation

$207,000 – $300,000/yr

Location: New York, New York · Mountain View, California
Type: Full-time
Level: senior
Posted: Sep 16, 2026

Description

Google is hiring a Data Scientist for its Labs Data Science team to support quality evaluation, growth analysis, experimentation, metrics development, user insights, and data-driven decision making across Labs products. The role involves complex data analysis, pipeline development, cross-functional collaboration with product and engineering teams, and presenting actionable insights to executives. Candidates need a relevant master's degree and either 8 years of analytics experience or 6 years with a PhD; preferred qualifications include additional experience and expertise in statistical methods. The position offers a US salary of $207,000–$300,000 plus a 20% bonus target, equity, and benefits, with work locations in New York and Mountain View.

Required Skills

Python
R
SQL
Statistical analysis
Data gathering
Analysis pipelines
Causal inference

Additional Information

Minimum Education: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
Required Previous Experiences: 8 years of work experience using analytics to solve product or business problems, coding, querying databases, or statistical analysis; alternatively, 6 years with a PhD
Preferred Qualifications: 10 years of work experience using analytics to solve product or business problems, coding, querying databases, or statistical analysis; alternatively, 8 years with a PhD
2 years of relevant data scientist or product analyst experience, including statistical data analysis, linear models, multivariate analysis, causal inference, and sampling methods
Experience articulating business questions, using mathematical techniques, and deriving business recommendations
Demonstrated ability to select appropriate statistical tools for data analysis problems