Staff Research Data Scientist, YouTube Premium

Google • San Bruno, CA

1d • $197,000 - $291,000

About The Position

As a Data Scientist within the YouTube Premium team, you will work alongside Premium and music DS, Nitrate Engineering/Product Manager (PM), ProdOps, Finance, Marketing, Business Development (BD)/partnerships and UX Researcher (UXR) partners to build and enhance LTV (lifetime value) models and understand return on investment dynamics across paid products, enhance ML promo ranking systems, create models and define metrics for improved user experiences,and uncover actionable data-driven insights that inform our product roadmaps and strategy. You will have a good blend of stakeholder management and technical skills, as well as be able to ask the right questions, frame the right direction for open ended asks, and determine when DS is not a good fit for the type of business problem being asked.

Requirements

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 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.

Nice To Haves

• 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

Responsibilities

• Enhance or build lifetime value models to improve accuracy; expand lifetime value coverage across paid products.
• Work with Nitrate Engineering and Product teams to improve promo efficiency, i.e., improve promos that drive incremental paid subscribers while minimizing user annoyance.
• Measure and understand user sentiment; improve promotion ranking ML; feature engineering and enhancement of ML models; design and custom analysis of experiments; support successful promotion of YouTube’s new paid products, new application features and experiences.
• Work with Marketing is built around both a collaborative and consulting relationship, where the focus ranges from geo experiments (matched market models) to user-randomized experiments to time-series causal inference.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level