Product Data Scientist, Engineering Productivity, Applied AI jobs in United States
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Google · 3 hours ago

Product Data Scientist, Engineering Productivity, Applied AI

positionMountain View, CA, USA
timeFull-time
remoteOnsite
seniorityEntry Level
money$113K/yr - $161K/yr
date2+ years exp

Google is seeking a Product Data Scientist in Engineering Productivity, Applied AI. The role involves providing quantitative support and strategic insights to enhance the productivity of engineers, impacting billions of users and improving developer workflows.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Apply standard/common tools, resources, and processes to defined problems and for moderately difficult projects, execute problem-solving tasks with guidance
Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality
Provide expert data science guidance, enabling data-driven decisions that accelerate development and improve efficiency
Partner cross-functionally with Engineering Productivity (EngProd) and core developer, and many other organizations to accelerate and simplify the developer workflows for Android engineers
Work closely with an Applied AI team solving complex business problems using ML and Large Language Model (LLM) solutions

Qualification

PythonRSQLStatistical analysisData ScienceCommunication skillsProblem-solving

Required

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
2 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or work experience with an advanced degree

Preferred

Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
3 years of experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL)

Benefits

Bonus
Equity
Benefits

Company

Google

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Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
dateFounded in 1998
location
Mountain View, California, USA
people-size10001+ employees
web-link
https://www.google.com

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

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Sundar Pichai
CEO
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Thomas Kurian
CEO - Google Cloud
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Company data provided by crunchbase