Google

Senior Research Data Scientist, AI Systems

Google  •  $174k - $253k/yr  •  New York City, NY / San Jose, CA (Onsite)  •  4 hours ago
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Job Description


Minimum qualifications:

  • 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.

Preferred qualifications:

  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

About the job

In this role, you will be in a team that applies statistical excellence and data science to understand AI opportunities and the developer productivity at a scale as large as that of Google. As a Data Scientist on the Developer AI team, you will be at the vanguard of using advanced data science and machine learning to comprehend and address the most significant hurdles our software engineers face. You will work with a vast and intricate dataset of developer activities. Your insights will directly influence the next wave of AI-enhanced tools for every developer at Google. You will have a passion for data, AI, and creating a substantial real-world impact.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

Responsibilities

  • Collaborate with engineering teams to instrument and gather high-quality data, laying the groundwork for understanding and enhancing AI products and developer productivity.
  • Perform deep analysis of developer processes and challenges to pinpoint where AI-driven solutions can deliver the most significant impact.
  • Create and monitor key performance indicators to measure the value and influence of our products on Google's developers.
  • Move beyond reactive data analysis to discover latent trends, forecast future requirements, and prove the return on investment of our projects.
  • Present your discoveries and insights to leadership, guiding data-centric decisions that will define the future of developer tools at Google.
Google

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Check out our career opportunities at goo.gle/3DLEokh

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Mountain View, CA
Year Founded
Unknown
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