Senior Data Scientist, Product, YouTube
Job Summary
Job Description
- 8+ years experience in data science or related field
- Proficiency in SQL, R, and Python
- Experience with statistical analysis and product analytics
- Strong problem-solving and communication skills
- Ability to translate analysis into actionable insights
- Master's degree in a quantitative field
- Experience with large datasets and Google data structures
- Experience in advertising or user engagement analysis
- Bonus
- Equity
- Benefits
10 skills required
Job Details
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Ability to read and apply quantitative methodologies from books, papers, etc.
- Ability to take open-ended problems and provide better definition and eventually solutions.
- Excellent communication skills.
About the job
YouTube Data Science is all about making better data-driven decisions to improve YouTube. Within Youtube Data Science, CoreX Data Science supports the Core Experiences (CoreX) Engineering and Project Management teams improving core experiences on YouTube and focuses on the application of data science to improve the user experience with the view towards driving growth, engagement, and acquisition. The areas the team supports includes improving growth via better interventions for strategic user segments, notifications, new user on-boarding, UI changes to drive user engagement and growth, forecasting and better management of ad load to improve engagement.
Responsibilities
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution.
- Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
- Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights or product improvement opportunities.
- Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of Google data structures and metrics, advocating for changes where needed for product development.
- Influence across teams to align resources and direction.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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