Senior Data Scientist, AI Data

Google is an AI-first company leading principled AI adoption, focusing on machine learning data and model quality.
$166,000 - $244,000
Data
Staff 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, particularly supporting the Gemini team and other Product Areas. This role is crucial in Google's mission as an AI-first company, working to enhance model quality through data optimization techniques.

The position involves working with complex data sets and applying advanced analytical methods to solve non-routine problems. You'll be responsible for conducting end-to-end analysis, from data gathering to presentation of insights, and building scalable analysis pipelines. The role requires collaboration with product and model teams to improve data quality and model performance.

As a Senior Data Scientist, you'll be at the forefront of AI development, particularly in the Gemini Era where data quality is paramount to model performance. You'll work on developing and implementing state-of-the-art data optimization techniques, making them accessible through integrated tools and platforms.

The position offers a competitive compensation package, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. Google provides an inclusive work environment and is committed to equal opportunity employment.

This is an excellent opportunity for experienced data scientists who want to make a significant impact on AI development at one of the world's leading technology companies. You'll be working with cutting-edge technology, solving complex problems, and contributing to the advancement of AI applications across Google's product portfolio.

The ideal candidate will have at least 5 years of experience in analytics and data science, with strong programming skills in Python, R, and SQL. A Master's degree in a quantitative field is required, though candidates with a PhD may qualify with less experience. The role demands both technical expertise and the ability to communicate complex findings to stakeholders effectively.

Last updated 5 minutes ago

Responsibilities For Senior Data Scientist, AI Data

  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
  • Share/present analysis to relevant stakeholders and organization executives to share insights, influence product direction, and answer questions regarding data quality measurement and model performance
  • Build and prototype analysis pipelines iteratively to provide insights at scale
  • Interact cross-functionally with a wide variety of product and model teams
  • Work closely with engineers to identify opportunities for, design, and assess improvements of data quality and model performance

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
Vision Insurance
Dental Insurance
Equity
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • Equity

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