Senior Data Scientist, Product, YouTube
Job Summary
Job Description
The Senior Data Scientist, Product, YouTube role focuses on improving core YouTube experiences by leveraging data science to drive growth, engagement, and acquisition. Responsibilities include analyzing the relationship between ads and organic engagement, defining key concepts like ad load and relevance, identifying opportunities to improve user experience, and building partnerships with cross-functional teams. The ideal candidate will possess strong analytical skills, proficiency in tools like SQL, R, and Python, and the ability to translate complex data into actionable business insights. This role involves building new processes, reporting KPIs to leadership, and influencing cross-team alignment.
Must have:
- 8 years experience in analytics
- Proficiency in SQL, R, Python
- Statistical analysis expertise
- Problem-solving and analytical skills
- Data-driven decision making
- Excellent communication skills
Good to have:
- Master's degree in quantitative field
- Experience with A/B testing
- Knowledge of Google data structures
- Ability to build business cases
Perks:
- 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.
In this role, you will understand the relationship between ads/business generation and organic engagement on YouTube. You will help define and oversee key concepts such as ad load, sensitivity, relevance and user impact, and analyze how this relates to usage patterns across the YouTube platform. You will identify risks and opportunities to improve the user experience, as well as understand how new features on both the ads and organic YouTube side may contribute to the balance. This will entail building close partnership with Ads Product Manager, Software Engineer and Data Scientist, and facilitating strategic conversations across functional lines.
The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
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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