Product Data Scientist, Google Play App
Company: Google
Location: Mountain View
Posted on: April 1, 2026
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Job Description:
Minimum qualifications: Bachelor's degree in Statistics,
Mathematics, Data Science, Engineering, Physics, Economics, or a
related quantitative field, or equivalent practical experience. 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.
Experience in experimental design, A/B testing analysis, and
applying causal inference methods. Experience partnering with
executive technical and non-technical stakeholders. Preferred
qualifications: Master’s degree in Statistics, Machine Learning,
Data Science, Economics, or a related quantitative field. 5 years
of experience developing supervised and unsupervised models
(classification, regression, prediction) and implementing
training/validation criteria for ML performance. Experience in
engagement domain. Experience in online App Store ecosystems or
digital marketplaces. About the job As part of the Platform and
Devices team, You will work on Google Play to shape the product
strategy, engineer our backend systems, and form content
partnerships. You make it possible for people to do things like buy
a game or app on the Android phone, then have it instantly
available across all the form factors. We work on a variety of
challenging data science projects to drive product and go-to-market
decisions for Play. Our direction is to Power Play’s growth by
building an understanding of our users and developers, enabling
data-driven decision making, through insights, thought leadership,
and unified data foundations. You will contribute to strategy, data
science and analytics, while facilitating alignment through
excellent communication. Our team partners with the leadership to
run important functions that integrate our existing organizations
and deliver projects. We help Engineers, Product Managers, UX, and
other cross-functional stakeholders to build amazing products that
delight our users and developers facilitating delivery and
adoption. As a Data Scientist for the Play Apps team, you will be
the Insights based driver for product strategy and business growth.
You will partner with Play stakeholders (Engineering, Product
Management, UX, and Commercial Operations) and cross-functional
teams (Finance, Marketing) to define metrics and deliver data
analysis. Your primary mission is to translate data into
recommendations, directly influencing product development, launch
strategies, and operational decisions to boost Apps Engagement.
Additionally, you will advocate process improvements within the
analytics workflow. 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 Partner with Engineering, Product Management, and
other Play or Apps leadership to inform strategy, influence with
insights, and provide methodological excellence, insights, and
metrics that reduce risk and improve user experience. Design and
analyze A/B experiments, develop and operationalize novel
measurement methodologies, including ensuring proper logging and
metrics, to quantify user behavior, engagement, and user value for
app features. Conduct post-launch and longitudinal analyses to
identify growth opportunities, understand the impact, and inform
future product development. Research, develop, and monitor the ML
models to improve user engagement, including establishing
evaluation criteria. Follow engineering best practices to create
data pipelines, automate reports, and iteratively build prototypes
to provide insights, solving complex analytical needs.
Keywords: Google, Pleasanton , Product Data Scientist, Google Play App, IT / Software / Systems , Mountain View, California
