Senior Research Data Scientist, YouTube Shorts Creation
Job in
San Bruno, San Mateo County, California, 94066, USA
Listed on 2026-07-30
Listing for:
Socket.dev
Full Time
position Listed on 2026-07-30
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 directlyinfluences 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 settingsto identify and clarify business or product questions to answer, while providing feedback to translate and refine business questions into tractableanalysis, evaluation metrics, or mathematical models.
- Leverage custom data infrastructure or existing data models as appropriate,using specialized knowledge to design and evaluate models that mathematicallyexpress and solve defined problems with limited precedent.
- Work with the engineering and product teams to create new metrics, maintainclassifiers, enable insights, and drive data-driven decision making.
- Own the process of gathering, extracting, and compiling data across sourcesvia relevant tools (e.g., SQL, R, Python), formatting, re-structuring, orvalidate 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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