Data Scientist III, Product, Pixel
@ Google

Mountain View, California, United States
On Site
Posted 3 days ago

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Job Details

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.

Frequently Asked Questions