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Staff Research Data Scientist, YouTube Premium

at Alphabet

Back to all Data Science / AI / ML jobs
A
Industry not specified

Staff Research Data Scientist, YouTube Premium

at Alphabet

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 16 hours ago

No clicks

Compensation
$197,000 – $291,000 USD

Currency: $ (USD)

City
Not specified
Country
United States

Join the YouTube Premium team as a Data Scientist to build and refine lifetime value (LTV) models and ROI analytics across paid products. You will enhance ML-driven promo ranking systems, design experiments, and generate data-driven insights to guide product roadmaps. You will collaborate with Nitrate Engineering/Product Manager, ProdOps, Finance, Marketing, Business Development, and UX Research to drive impact through modeling, experimentation, and stakeholder management.

Staff Research Data Scientist, YouTube Premium

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YouTubeSan Bruno, CA, USA; Mountain View, CA, USA
Advanced
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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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Staff Research Data Scientist, YouTube Premium

at Alphabet

Back to all Data Science / AI / ML jobs
A
Industry not specified

Staff Research Data Scientist, YouTube Premium

at Alphabet

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 16 hours ago

No clicks

Compensation
$197,000 – $291,000 USD

Currency: $ (USD)

City
Not specified
Country
United States

Join the YouTube Premium team as a Data Scientist to build and refine lifetime value (LTV) models and ROI analytics across paid products. You will enhance ML-driven promo ranking systems, design experiments, and generate data-driven insights to guide product roadmaps. You will collaborate with Nitrate Engineering/Product Manager, ProdOps, Finance, Marketing, Business Development, and UX Research to drive impact through modeling, experimentation, and stakeholder management.

Staff Research Data Scientist, YouTube Premium

  • Copy link
  • Email a friend
YouTubeSan Bruno, CA, USA; Mountain View, CA, USA
Advanced
  • Copy link
  • Email a friend
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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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