Data Scientist, Research, Data Science, Developer AI
Company: Google
Location: Cupertino
Posted on: January 7, 2026
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Job Description:
Minimum qualifications: Masters degree in Statistics, Data
Science, Mathematics, Physics, Economics, Operations Research,
Engineering, or a related quantitative field. 3 years of work
experience using analytics to solve product or business problems,
coding (e.g., Python, R, SQL), querying databases or statistical
analysis, or a PhD degree. Preferred qualifications: PhD degree in
Statistics, Math, Computer Science, Engineering, or related
quantitative fields or Masters degree with 3 years of experience in
quantitative areas. 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 a PhD degree.
Experience in experiments (e.g., design of experiments, experiment
logging, multiple hypothesis testing, causal inference). Experience
working in a development lifecycle, defining requirements, checking
in code, testing, staging, production. Ability to be collaborative
and to build excellent trust and relationships with
cross-functional teams. About the job As a Data Scientist on the
Developer AI team, youll be in a team that applies statistical
aptitude and data science to understand AI opportunities and the
developer productivity as large as that of Google. Youll 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 have the rare chance to 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. If you have a passion for data, AI, and
creating a substantial real-world impact, we would love to hear
from you. In this role, you will be at the forefront of shaping the
future of software development at Google. You will empower Alphabet
and product area leadership by providing the metrics, statistical
and machine learning methodologies, and insights needed to chart
data-driven strategies for our developer-focused missions and
products. Your work will directly contribute to accelerating
software development through the power of AI as you help build
better developer technology for all of Google. Furthermore, you
will provide critical data-driven insights for key AI initiatives,
including opportunity sizing, impact evaluation, and in-depth user
journey analysis, to ensure we are building the most effective
tools for our engineers.The US base salary range for this full-time
position is $141,000-$202,000 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. 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 issues to pinpoint where AI-driven solutions can
deliver the most significant impact. Define and track the success
of our AI-powered developer tools. 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.
Keywords: Google, Carmichael , Data Scientist, Research, Data Science, Developer AI, IT / Software / Systems , Cupertino, California
