Data Scientist III, Product

1 Month ago • 5-7 Years • Data Analyst • $132,000 PA - $189,000 PA

Job Summary

Job Description

This Data Scientist III role at Google focuses on supporting the company's worldwide user base, specifically enabling parents to manage their children's Google accounts. Responsibilities include performing data analysis using SQL, R, and Python; gathering, extracting, and compiling data across various sources; reporting KPIs; translating analysis into business insights; influencing product development decisions; and building analysis and business cases. The role requires strong analytical skills, proficiency in data manipulation and visualization, and effective communication to collaborate with engineering and product teams. The successful candidate will help shape the Google experience for younger users while adhering to legal and policy requirements.
Must have:
  • Bachelor's degree in quantitative field
  • 5 years experience in data analysis and coding (Python, R, SQL)
  • Proficient in SQL, R, Python
  • Data extraction, compilation, and validation
  • KPI reporting and business insight generation
  • Influence product development decisions
Good to have:
  • Master's degree in quantitative field
  • Experience with Google data structures and metrics
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 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.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

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 enable parents to set up Google accounts for their children and to provide a customized Google experience to these younger users. You will assist in satisfying legal and policy requirements, and supports parents by providing notice, obtaining consent, and offering supervision and management features for their children’s accounts.

In this role, you will provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. You will use numbers to help them make better decisions. You weave stories with meaningful insight from data. You will make recommendations cross-functionally to Engineering and Product Management.

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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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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