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Data Scientist III, Product, Pixel

Google

Mountain View, California, United StatesOn Site

Original Job Summary

Minimum Qualifications

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics or equivalent practical experience.

5 years of 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 with a Master's degree.

Preferred Qualifications

Master's degree in the related quantitative field and 5 years of work experience with analysis applications and coding (Python, R, SQL).

About the Job

Help serve Google's worldwide user base of over a billion people. As a member of the Data Scientist III, Product, Pixel team, you provide quantitative support, strategic market insights, and analytics expertise to drive better decision-making in both Engineering and Product Management.

You will:

  • Weave stories with meaningful insights from data.
  • Make critical recommendations for product and engineering teams.
  • Work on scalability solutions, large-scale applications, and innovative platforms.

Responsibilities

The successful candidate will:

  • Perform analysis using tools like SQL, R, and Python.
  • Gather, extract, compile, re-structure, and validate data from multiple sources.
  • Report KPIs to support business reviews with leadership.
  • Translate analysis into business insights and product improvement opportunities.
  • Own the Pixel dashboard workstream including data engineering and dashboard design.
  • Build and prototype analysis and business cases using Google data structures and metrics.

Compensation

The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Additional details regarding salary, bonus, equity, and benefits will be provided during the hiring process.

Key skills/competency

Data Analysis, SQL, Python, R, Statistical Analysis, Dashboard Design, Data Engineering, Business Insights, KPI Reporting, Data Visualization

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Customize your resume: Highlight analytics, SQL, Python, and R skills.
  • Research Google's culture: Review mission, values, and recent news.
  • Prepare quant data examples: Use measurable outcomes from projects.
  • Practice technical interviews: Focus on problem-solving and coding challenges.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query techniques.
Practice Python coding challenges.
Study R for data analysis.
Refresh statistical methods and tools.

Behavioral Questions

Describe a challenging project outcome.
Explain teamwork in data projects.
Discuss conflict resolution in teams.
Share examples of data-driven decisions.