Staff Research Data Scientist, YouTube Premium
YouTube
San Bruno, CA$197,000 - $291,000 a yearFull Time
Job Description
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Mountain View, CA, USA.
Minimum qualifications:
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.
Preferred qualifications:
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.
About the job
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.The US base salary range for this full-time position is $197,000-$291,000 + 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 benefits at Google.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Minimum qualifications:
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.
Preferred qualifications:
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.
About the job
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.The US base salary range for this full-time position is $197,000-$291,000 + 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 benefits at Google.
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.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.