Senior Data Scientist, Product
Company: Google
Location: Kirkland
Posted on: April 2, 2026
|
|
|
Job Description:
info_outline X In accordance with Washington state law, we are
highlighting our comprehensive benefits package, which is available
to all eligible US based employees. Benefits for this role include:
Health, dental, vision, life, disability insurance Retirement
Benefits: 401(k) with company match Paid Time Off: 20 days of
vacation per year, accruing at a rate of 6.15 hours per pay period
for the first five years of employment Sick Time: 40 hours/year
(statutory, where applicable); 5 days/event (discretionary)
Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note:
By applying to this position you will have an opportunity to share
your preferred working location from the following: Kirkland, WA,
USA; Sunnyvale, CA, USA . Minimum qualifications: Bachelor's degree
in Statistics, Mathematics, Data Science, Engineering, Physics,
Economics, or a related quantitative field. 8 years of experience
using analytics to solve product or business problems, performing
statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years
of experience with a Master's degree). Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science,
Engineering, Physics, Economics, or a related quantitative field.
About the job Help serve Google's worldwide user base of more than
a billion people. Data Scientists provide quantitative support,
market understanding and a strategic perspective to our partners
throughout the organization. As a data-loving member of the team,
you serve as an analytics expert for your partners, using numbers
to help them make better decisions. You will weave stories with
meaningful insight from data. You'll make critical recommendations
for your fellow Googlers in Engineering and Product Management. You
relish tallying up the numbers one minute and communicating your
findings to a team leader the next. The ML, Systems, & Cloud AI
(MSCA) organization at Google designs, implements, and manages the
hardware, software, machine learning, and systems infrastructure
for all Google services (Search, YouTube, etc.) and Google Cloud.
Our end users are Googlers, Cloud customers and the billions of
people who use Google services around the world. We prioritize
security, efficiency, and reliability across everything we do -
from developing our latest TPUs to running a global network, while
driving towards shaping the future of hyperscale computing. Our
global impact spans software and hardware, including Google Cloud’s
Vertex AI, the leading AI platform for bringing Gemini models to
enterprise customers. The US base salary range for this full-time
position is $163,000-$237,000 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 Perform analysis utilizing relevant tools (e.g.,
SQL, R, Python). Help solve problems, narrowing down multiple
options into the best approach, and take ownership of open-ended
ambiguous business problems to reach an optimal solution. Build new
processes, procedures, methods, tests, and components with
foresight to anticipate and address future issues. Report on Key
Performance Indicators (KPIs) to support business reviews with the
cross-functional/organizational leadership team. Translate analysis
results to business insights or product improvement opportunities.
Build and prototype analysis and business cases iteratively to
provide insights at scale. Develop comprehensive knowledge of
Google data structures and metrics, advocating for changes where
needed for product development. Influence across teams to align
resources and direction.
Keywords: Google, Tacoma , Senior Data Scientist, Product, IT / Software / Systems , Kirkland, Washington
