Data Scientist, Product, Google Mobile Services

1 Month ago • 2-5 Years • Data Analyst • $132,000 PA - $189,000 PA

Job Summary

Job Description

This Data Scientist role within Google's Mobile Services (GMS) Core team focuses on providing quantitative support and strategic insights to partners. Responsibilities include performing data analysis using SQL, R, and Python; gathering, extracting, and compiling data from various sources; reporting KPIs to leadership; translating analysis into actionable business insights and product improvements; and influencing product development decisions. The role involves close collaboration with Product Management, Engineering, and UX teams to shape product narratives, design experiments, launch features, and measure success. The ideal candidate will have a strong analytical background, excellent communication skills, and experience with statistical modeling and causal inference. The position offers the opportunity to work on high-impact business problems within a large-scale, dynamic environment.
Must have:
  • Bachelor's degree in quantitative field
  • 5 years experience (or 2 with Masters)
  • Proficiency in SQL, R, Python
  • Data analysis & statistical modeling
  • Strong communication skills
Good to have:
  • Master's degree
  • Experience with causal inference
  • Experience working with engineers & product managers
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 (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of work experience with a Master's degree.

Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
  • Experience in developing models, e.g., statistical and causal inference, classification methods
  • Experience working with Engineers and Product Managers.

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 Google Mobile Services (GMS) Core team within Google Play is the underlying platform for many Google services and APIs. Google Play provides apps, games, and digital content services that bring Android devices to life. It’s a Google approach to entertainment, syncing magically across your devices and the web. GMS core team’s mission is to provide the best mobile services to three billion plus devices across all Android platforms around the world while ensuring data transparency, privacy and user trust at the same time. The Product Analytics team provides business critical insights using analytics, ensures cross- functional alignment of goals and execution, and helps teams drive strategic partnerships and new initiatives forward.

In this role, you will partner closely with Product Management, Engineers, User Experience and cross-functional teams to work on these high impact business problems together, to shape the product narrative, design experiments, launch features and measure success. You will have a high quality database and analysis tools to work with, which empowers you to derive insights and land product recommendations.

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 problem-solving 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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