Senior Research Data Scientist, YouTube Shorts Creation
Job in
San Bruno, San Mateo County, California, 94066, USA
Listed on 2026-07-31
Listing for:
Socket.dev
Full Time
position Listed on 2026-07-31
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Engineering, Data Science Manager
Job Description & How to Apply Below
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics,Operations Research, Engineering, or a related quantitative field.
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
In this role, you will be a part of You Tube Data Science, a team that directly influences and informs You Tube’s product and engineering leadership as it has along history of working on projects that are at the heart of the business andhave a seat at the table when it comes to the decisions that drive You Tube'scontinued success. The Data Science team advises on strategy, metrics, and product changes that improve these 0 to 1 experiences for our users.
You will improve decisions at You Tube with science.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
RESPONSIBILITIES- Engage with stakeholders across cross-functional projects and team settings to identify and clarify business or product questions to answer, while providing feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
- Leverage custom data infrastructure or existing data models as appropriate,using specialized knowledge to design and evaluate models that mathematically express and solve defined problems with limited precedent.
- Work with the engineering and product teams to create new metrics, maintain classifiers, enable insights, and drive data-driven decision making.
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python), formatting, re-structuring, or validate data to ensure quality, and review the dataset to ensure it is readyfor analysis.
- Support launch decisions through experimental design and analysis.
Position Requirements
10+ Years
work experience
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