Data Scientist III, Product, Google Play

1 Month ago • 2-7 Years • Data Analyst • $132,000 PA - $189,000 PA

Job Summary

Job Description

As a Data Scientist III at Google Play, you'll leverage your analytical expertise to provide quantitative support and strategic insights to partners across the organization. You'll extract insights from data, perform statistical analysis, and solve business problems using tools like SQL, R, and Python. Responsibilities include gathering, compiling, and validating data; reporting key performance indicators (KPIs); translating analysis results into actionable business insights; and influencing product development decisions. You'll work closely with engineering and product management teams to improve Google Play's gaming vertical, contributing to a better user experience and enhanced value for Google.
Must have:
  • Bachelor's degree in quantitative field
  • 5 years of experience with analysis and coding (Python, R, SQL)
  • Data analysis and interpretation skills
  • Strong communication skills
  • Experience with SQL, R, Python
Good to have:
  • Master's degree in quantitative field
Perks:
  • bonus
  • equity
  • benefits

Job Details

Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

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.

As the most trusted marketplace for Android, Google Play offers music, movies, books, apps and games for consumers across their devices. Googlers working on Google Play’s gaming vertical do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships with games developers.

With a combination of sharp problem solving skills and keen commercial acumen, the Play Games Data Science and Analytics team provides the insights and operational excellence that enable Play to delight users, empower developers and create value for Google. As strategic advisors, we collaborate with Product, Engineering, Marketing and other teams in support of gaming products.

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 $132,000-$189,000 + 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 by utilizing relevant tools (e.g., SQL, R, Python). Using comprehensive technical knowledge, use custom data infrastructure or existing data models.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, re-structure, and validate data to ensure quality.
  • Report Key Performance Indicators (KPIs) to support business reviews with cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
  • Provide analytical insights and recommendations to influence product feature development decisions, and with some guidance.
  • Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics.

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