MINIMUM QUALIFICATIONS:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics,
Operations Research, Engineering, or a related quantitative field.
- 5 years of experience using analytics to solve product or business problems,
coding (e.g., Python, R, SQL), querying databases or statistical analysis, or
3 years of experience with a PhD degree.
PREFERRED QUALIFICATIONS:
- 8 years of experience using analytics to solve product or business problems,
coding (e.g., Python, R, SQL), querying databases or statistical analysis, or
6 years of experience with a PhD degree.
- Knowledge in data, metrics, analysis and trends.
- Knowledge of measurement, statistics and program evaluation.
ABOUT THE JOB:
Chrome’s mission is to make the web work better for you. We do this by evolving
Chrome, which serves the world and Google as both a product for billions of
users and a platform (i.e. Chromium and related components that advance the open
web and open media technologies).
In this role, your work will have tremendous impact throughout Chrome, as you
have an opportunity to work with the many teams that use our systems to gate
features and understand users. As a platform, Chrome envisions a fast, safe,
capable platform and growing web for generations of users and developers. As a
product, Chrome imagines a more helpful, adaptive agent that helps people with
their multifaceted needs. Chrome's goal is to redefine browsing by delivering
unparalleled safety, speed, efficiency, and ease of use, and integrating with
GenAI and Google's web products, to understand user needs and provide
personalized experiences.
Our Data Science Team blends research and product expertise to address
challenges. We leverage a mix of theoretical and practical knowledge in advanced
statistical, machine learning techniques, predictive modeling, human eval,
experimentation, forecasting, exploratory analysis, and more to drive
data-informed innovation, unlock opportunities, and enhance user experiences
within Chrome.
RESPONSIBILITIES:
- Leverage advanced statistical methods on massive datasets to extract insights
from billions of events and thousands of features across organizational
sources.
- Analyze intricate product and platform usage patterns, translating
data-driven insights into actionable product strategy and developing
decisions.
- Collaborate with stakeholders in cross-projects and team settings to identify
and clarify business or product questions to answer. Provide feedback to
translate and refine business questions into tractable analysis, evaluation
metrics, or mathematical models.
- Make clear, concise products and developing recommendations to drive major
impact.
