Data Scientist Product, Geo Data Science
Technology, Data & Digital · Data, AI & Analytics · Data Science
In short
Help serve Google's user base by providing quantitative support and strategic perspective. This role focuses on empowering Geo with data science solutions to understand data quality, user engagement, and scale AI/ML efforts for products like Maps and Search. Responsibilities include analyzing user funnels, designing experiments, and building AI workflows.
Responsibilities
- Partner closely with Product Managers, Engineers, and UX Researchers in strategic markets to analyze user funnels, evaluate search patterns, and uncover growth opportunities across key international expansion markets and product verticals.
- Design, execute, and analyze live A/B experiments and causal inference models to measure the direct impact of localized data enhancements and feature rollouts on user engagement, and growth.
- Collaborate with operations leadership, program managers, and vendor operations leads in scaling operations to conduct root-cause quality evaluations, assess operational workflows, and optimize data governance standards.
- Build intelligent AI workflows, automated alerting systems, and self-service analytics tools to streamline operational requests, reduce turnaround times, and improve overall system velocity.
- Maintain foundational data pipelines and single-source-of-truth dashboards to deliver clear operational visibility and track core business scorecards for leadership.
Requirements
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 2 years work experience with a Master's degree).
Desired Qualifications
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Experience in machine learning, or predictive modeling.
Benefits
- Opportunity to work with a worldwide user base of more than a billion people.
- Serve as an analytics expert for partners, using numbers to help them make better decisions.
- Weave stories with meaningful insight from data.
- Make critical recommendations for fellow Googlers in Engineering and Product Management.
- Work with Engineering teams across Geo on a variety of problems related to data quality, user engagement, geospatial data, AI/ML, and GenAI features.
- Opportunity to shape user experiences for products like Maps, Earth, Local Search and more.
Skills
PythonRSQLmachine learningpredictive modeling
#Data Scientist#Product#Geo Data Science#Google#Bengaluru#Hyderabad#Statistics#Mathematics#Data Science#Engineering#Physics#Economics#Analytics#Python#R#SQL#Machine Learning#Predictive Modeling#AI/ML#GenAI
About Google
Innovative Full-Stack Developer | Building Scalable Solutions with Node.js & React
At Google, our mission is to organize the world's information and make it universally accessible and useful. From Search to AI, we develop products and services that improve the lives of billions, empowering individuals and businesses globally. We're driven by a passion for innovation, a commitment to solving complex problems, and a belief in the transformative power of technology. Since our founding in 1998, we've remained dedicated to creating a more helpful and connected world.
Company
GoogleJob Posted
4 days ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Mid-Senior
Locations
Bengaluru, India
Hyderabad, India
Qualification
Bachelor, Master
Applicants
Be an early applicant
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