Research Data Scientist, YouTube Music and Premium

Research Data Scientist, YouTube Music and Premium

Share Research Data Scientist, YouTube Music and Premium

corporate_fare YouTube place San Bruno, CA, USA; Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Research Data Scientist, YouTube Music and Premium

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XIn most instances, this position requires in-person interviews as part of the hiring process.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.

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

Preferred qualifications:

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

• Ability to read and apply quantitative methodologies from books, papers, etc.

• Ability to take open-ended problems, provide better definition and eventually solutions.

• Ability to communicate well (and the so what) with data.

About the job

YouTube Data Science consists of a large analyst team that influences and informs YouTube’s product and engineering leadership teams. We have a long history of working on projects that are at the heart of the business and have a seat at the table when it comes to the decisions that drive YouTube's continued success.

Within YouTube Data Science, the Music and Premium Data Science team is the home for all music products and podcasts at Google, along with efforts to grow the paid users (Premium, Nitrate, Commerce, and Growth). It is a critical area both for expanding Google's business through paid subscriptions growth, as well as showcasing innovation. This is the landing spot for GenAI audio and transforming the product using AI tools.

As a Data Scientist within the YouTube Premium team, you will work alongside premium and music Data Scientists, ProdOps, Finance, PM, Marketing, BD/partnerships, Engineering and UXR partners to uncover actionable data-driven insights that inform the product roadmaps and strategy, create models and define metrics for improved user experiences, and model growth dynamics in premium user base to support the M&P business.

You will need to have a background or a flair for topics related to economics, especially economics of paid subscription services.

The Music and Premium experience for YouTube users involves no ads, backgrounding, downloads (for offline experiences), and many others. This role involves understanding levers of YouTube premium subscriber growth, building robust and scalable tools to understand, manage the trajectory of the business, while balancing subscriber growth and profitability.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.

• Drive operational diagnoses in the premium business, such as reasons for changes in paid preserving, trial to paid conversion and the implications for various areas in the subs business (lifetime calue, acquisition and experiments etc.).

• Adjust prices which require understanding of the impact on existing subs (churn). Involve in improving methods to estimate price elasticity and play a key role in the mission control team which coordinates price increases.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.