Senior Data Scientist Manager, Product, Play Games

Senior Data Scientist Manager, Product, Play Games

Join to apply for the Senior Data Scientist Manager, Product, Play Games role at Google

Senior Data Scientist Manager, Product, Play Games

Join to apply for the Senior Data Scientist Manager, Product, Play Games role at Google

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• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 10 years of experience with Master's degree.
• 5 years of experience as a people manager within a technical leadership role.
  

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 13 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 10 years of experience with Master's degree.
• 5 years of experience as a people manager within a technical leadership role.
  

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 15 years of experience with analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• 6 years of experience as a people manager within a technical leadership role.
  

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 Play Games team’s serve as the go-to-platform for gaming, for users and developers, across the lifecycle of titles, from development to growth.
In this role, you will lead a team of Data Scientists located in the United States, United Kingdom, and India in providing insights that help Product and Go-To-Market (GTM) teams take the decisions to delight users, grow business, and deliver Return on Investment for developer partners.
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 $227,000-$320,000 + 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 related tools (e.g., SQL, R, Python). Direct projects that combine investigative and organizational tests towards decisions.
• Own end-to-end projects, covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models, and presentation to stakeholders.
• Oversee the integration of cross-functional/organizational project/process timelines, drive improvements and recommendations, and define operational goals and objectives.
• Identify key areas for the team based on goals of the Games business and its Loyalty program. Distill these areas into projects, and obtain buy-in for them from the stakeholders.
• Mentor and manage junior data scientists, promote a culture of technical excellence and learning within the team.
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Customer Service and Product Management

• Industries

  Information Services and Technology, Information and Internet

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