Research Data Scientist, Ads – AI & Metrics at Scale

Google Inc.; Northern, New York (KY, NY); Hybrid; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity grants

Job summary

Google Inc. is seeking a Research Data Scientist in the Ads Metrics group to advance analytics for Search Ads and Google Experience. You will design experiments, build models, and partner with cross‑functional teams to translate business questions into rigorous analysis.

Required: master’s degree in a quantitative field and 3 years of analytics and coding experience (Python/R/SQL). Preferred: 5 years of experience or a PhD. Equity and a bonus target are part of the compensation.)

Qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree (preferred).

Responsibilities

• Collaborate with stakeholders in cross‑projects and team settings to identify and clarify business or product questions to answer.
• Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Format, re‑structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Skills

Python

R

SQL

Analytics

Statistics

Education

Master's degree in Statistics or related quantitative field

Job description

Google Inc. is seeking a Research Data Scientist in the Ads Metrics group to advance analytics for Search Ads and Google Experience. You will design experiments, build models, and partner with cross‑functional teams to translate business questions into rigorous analysis.

Required: master’s degree in a quantitative field and 3 years of analytics and coding experience (Python/R/SQL). Preferred: 5 years of experience or a PhD. Equity and a bonus target are part of the compensation.)