Senior Research Data Scientist, AI Developer Tools

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Cloud Computing, Customer/Client Research, Data Science, Database Analysis, Economics, Ecosystems, Engineering Management, English Language, Equal Employment Opportunity (EEO), French Language, Genetics, Machine Learning, Mathematics, Mechanical Engineering, Metrics, Modeling Languages, Network Operations Center, Operations Management, Operations Research, Physics, Product Engineering, Product Management, Product Testing, Product/Service Launch, Program Planning, Programming Tools, Project/Program Management, Python Programming/Scripting Language, R Programming Language, Recruiting/Staffing Agency, Regulatory Requirements, SQL (Structured Query Language), Sales, Sales Management, Scientific Research, Security Architecture, Software Engineering, Statistics, Supply Chain Management, Technical Leadership
LOCATION
Sunnyvale, CA
POSTED
19 days ago

Senior Research Data Scientist, AI Developer Tools - Google Careers

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Senior Research Data Scientist, AI Developer Tools

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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.

  • Familiarity with modern machine learning techniques and Large Language Models (LLMs).

About the job

Google Cloud offers a suite of Gemini-powered products. At the heart of this innovation is the Cloud Products Analytics team, which plays a central role in driving business success through data. We cover the entire analytics spectrum - from designing foundational metrics and uncovering deep user insights via innovative, rigorous, and advanced statistical methodologies to leading critical product launch evaluations.

In this role, you will partner directly with Engineering and Product Management teams to shape Generative AI-based development tools that are fundamentally redefining developer productivity. You will drive the product success of flagship, high-priority Google Cloud initiatives on a team where analytics directly influences executive decisions.

You will work at the forefront of AI, applying advanced analytics to next-generation developer tools. You will also serve as a co-pilot to product and engineering leaders, steering the direction of the product from inception to launch.

The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Act as a proactive, partner to Engineering and Product Management team, anticipating product needs to shape roadmaps and guide decision-making.
  • Manage business questions by applying advanced statistical methodologies. Continually push boundaries by designing and implementing novel analysis techniques and trailblazing analytical frameworks.
  • Design and establish advanced metrics to measure product health, setting new measurement standards for GenAI ecosystems.
  • Design and execute launch evaluations and experimentation frameworks, ensuring high-quality, data-driven feature rollouts.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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