Senior Data Scientist, Product, Google Play Games
Job Summary
Job Description
This Senior Data Scientist role at Google Play Games in Mountain View, CA, involves using analytics to solve product and business problems. Responsibilities include performing statistical analysis, coding (Python, R, SQL), reporting KPIs, translating analysis into business insights, influencing cross-functional teams, building new processes, and developing Google data structure knowledge. The role focuses on supporting Play's loyalty-focused products (Play Points and Play Pass), collaborating with Product, Engineering, and Marketing teams. The ideal candidate possesses strong analytical skills, experience with loyalty programs and ideally the gaming industry, and excellent communication abilities to translate complex data into actionable insights for leadership and product teams.
Must have:
- Bachelor's degree in quantitative field
- 8 years experience using analytics
- Statistical analysis & coding (Python, R, SQL)
- Problem-solving & data analysis skills
- KPI reporting & business insights
Good to have:
- Master's degree in quantitative field
- Loyalty program experience
- Gaming industry experience
Perks:
- Bonus
- Equity
- Benefits
7 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience plus a Master's degree).
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Experience working with loyalty programs.
- Experience in the gaming industry.
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.In this role, you will collaborate with Product, Engineering, Marketing and other teams in support of Play's loyalty-focused products, including Play Points and Play Pass.Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.
The US base salary range for this full-time position is $156,000-$229,000 + 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 .
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.
- 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.
- Influence across teams to align resources and direction.
- Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
- 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.
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