About this role

Google is hiring a mid-level Data Scientist based in San Bruno, CA (hybrid). The posting calls out experience with Python, R, SQL and roughly 4+ years of relevant work. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $194,850–$198,000 per year.

Role: Data Scientist
Function: data engineering
Level: mid
Track: Individual contributor
Employment: Full-time
Location: San Bruno, CA
Work mode: Hybrid
Experience: 4+ years
Education: Bachelor's degree
Posted: Jun 29, 2026

AI Summary

Mid-level Data Scientist at YouTube collaborates with stakeholders to translate business questions into statistical models, gathers and processes data using SQL/R/Python, and develops dashboards and metrics to guide product decisions. Requires 4 years of experience in data extraction, validation, formulation, and defining business objectives mapped to scalable solutions.

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Job description

from Google careers

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

The US base salary range for this full-time position is $194,850 to $198,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.

Learn more about benefits at Google.

Position reports to the Google San Bruno, CA office & may allow for a hybrid schedule per Google policy.

Responsibilities

Collaborate with stakeholders to identify and refine complex business questions, translating them into tractable analysis and statistical models
Drive the gathering, extraction, and compilation of data across diverse sources using tools like SQL, R, and Python, ensuring quality and security
Formulate and interpret data to reach specific conclusions and recommend next steps with minimal guidance, providing feedback on analyses from others
Develop and define key metrics to track and evaluate solution implementation and deployment, identifying product gaps through metric analysis
Create and automate dashboards and reporting tools that generate insights for internal teams, guide product decisions, and support OKR identification & Write, validate, and document high-quality solution code integrated with production systems while creating repeatable solutions and best practices for others. Domestic travel required

Minimum qualifications:

Bachelor’s degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field and 6 years of progressive, post-baccalaureate experience in the job offered or in a Business and Marketing Data Scientist-related occupation.
Alternatively, will accept a Master’s degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field, and 4 years of experience in the job offered or in a Business and Marketing Data Scientist-related occupation.
Position requires 4 years of experience in the following: Data gathering, extraction, and compilation using SQL, R, or Python and; Formatting, re-structuring, and validating data to ensure quality standards and; Data formulation and interpretation by synthesizing multi-source data and; Defining data requirements, data sources, and data formats; and Defining measurable business objectives and mapping them to scalable data solutions.