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Senior Data Scientist, AI Data

Google is an AI-first company leading efforts in principled AI adoption, focusing on machine learning data and model quality.
$166,000 - $244,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI

Description For Senior Data Scientist, AI Data

Google is seeking a Senior Data Scientist to join their AI Data team, focusing on improving the quality of machine learning models used in production. This role directly supports the Gemini team and other Product Areas, with a mission to enhance model quality through tools and services that help reach quality goals more efficiently.

The position emphasizes data-centric AI, where data quality is crucial for training, fine-tuning, and RAG performance. You'll work on complex challenges at the frontier of research, determining what "quality" means and how to measure data value across different models and use cases. The role involves building and iterating on tools that automatically apply data optimization techniques, demonstrating their effectiveness, and delivering insights for improvement.

As a Senior Data Scientist, you'll analyze complex datasets, develop analytical methods, and present findings to influence product direction. You'll build analysis pipelines, work cross-functionally with product and model teams, and help improve data quality and model performance. The position offers competitive compensation including base salary, bonus, equity, and comprehensive benefits.

This is an excellent opportunity for someone passionate about AI and data science who wants to make a significant impact on Google's AI initiatives, particularly the Gemini project. You'll be at the forefront of developing tools and techniques that improve model quality across Google's product offerings, working with cutting-edge technology and collaborating with top talent in the field.

Last updated 2 days ago

Responsibilities For Senior Data Scientist, AI Data

  • Work with data sets. Solve difficult, non-routine analysis problems, applying analytical methods as needed
  • Share or present analysis to stakeholders and organization executives
  • Build and prototype analysis pipelines to provide insights
  • Interact cross-functionally with product and model teams

Requirements For Senior Data Scientist, AI Data

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 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 3 years of work experience with a PhD degree

Benefits For Senior Data Scientist, AI Data

Medical Insurance
Equity
401k
  • Medical Insurance
  • Equity
  • 401k

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