Want to get hired at Google?
Senior Data Scientist, Research, Search
Original Job Summary
Overview
The Senior Data Scientist, Research, Search at Google will evaluate and improve Google products, collaborate with multidisciplinary teams, and bring scientific excellence to product creation, development, and improvement. This role specifically focuses on revolutionizing the Google Search experience with the latest GenAI model capabilities.
Minimum and Preferred Qualifications
Minimum qualifications: Master’s degree in a quantitative field (Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or related) with 5 years of relevant work experience using analytics, coding (Python, R, SQL), database querying, or statistical analysis. Alternatively, a PhD with 3 years experience.
Preferred qualifications: 8 years of work experience using these skills or a PhD with 6 years experience.
Responsibilities
- Collaborate with stakeholders to clarify product and business queries.
- Translate business questions into tractable analytics and models.
- Design and evaluate models with custom or existing data infrastructures.
- Gather, extract, and compile data using SQL, R, and Python.
- Ensure data quality and readiness for analysis.
Location & Compensation
Candidates may choose their preferred working location from Mountain View, CA or New York, NY. The full-time US base salary range is $166,000-$244,000 plus bonus, equity, and benefits.
Key Skills/Competency
- Data Science
- Analytics
- Statistical Analysis
- Python
- R
- SQL
- GenAI
- Modeling
- Collaboration
- Problem Solving
How to Get Hired at Google
🎯 Tips for Getting Hired
- Customize your resume: Highlight analytics and modeling projects.
- Research Google culture: Understand their mission and innovation.
- Prepare for technical interviews: Review Python, R, and SQL.
- Showcase collaborative work: Demonstrate teamwork and impact.