Senior Data Scientist - Product Analytics & Strategy

Google Inc.

San Francisco (CA)

Hybrid

USD 207,000 - 237,000

Full time

3 days ago
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Job summary

Google Inc. in San Francisco, CA is seeking a Senior Data Scientist to drive progress on large-scale data problems and mentor junior team members within the Search organization.

You will analyze diverse datasets using SQL, Python, and R, build predictive models and dashboards, and partner with product and engineering teams to shape data-driven decisions across Google’s search experiences. The role may offer a hybrid schedule in line with Google policy, and the US base salary range reflects

Qualifications

  • Requires a Bachelor's degree and 6+ years in Data Science or related field.
  • Alternatively, a Master's degree with 3+ years of relevant experience.
  • Experience in SQL, Python, or R for data manipulation, modeling, and visualization.

Responsibilities

  • Extract, format, and validate complex datasets from multiple sources for quality and readiness.
  • Conduct advanced analyses using SQL, R, and Python to solve complex problems.
  • Report KPIs to leadership and translate results into actionable product insights.
  • Prototype scalable business cases and build robust data processes.
  • Master internal data structures and mentor cross-functional teams on data needs.

Skills

SQL
Python
R
Statistical analysis
Product analytics
Stakeholder management
UX measurement

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or related field
Master's degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or related field

Job description

Google Inc. in San Francisco, CA is seeking a Senior Data Scientist to drive progress on large-scale data problems and mentor junior team members within the Search organization.

You will analyze diverse datasets using SQL, Python, and R, build predictive models and dashboards, and partner with product and engineering teams to shape data-driven decisions across Google’s search experiences. The role may offer a hybrid schedule in line with Google policy, and the US base salary range reflects

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