Senior Research Data Scientist, CoreX, YouTube

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Analysis Skills, Android, Business Case, Business Support, Cloud Computing, Cloud Storage, Consumer Packaged Goods, Cross-Functional, Customer Service Management, Data Science, Data Structures, Database Analysis, Economics, English Language, Equal Employment Opportunity (EEO), Facilities Management, Field Sales, Financial Services, Forecasting, Genetics, Japanese Language, Leadership, Manufacturing, Mathematics, Metrics, Multiplatform/Cross-Platform, Network Operations Center, Onboarding, Operations Research, Performance Analysis, Performance Metrics, Physics, Problem Solving Skills, Procedure Development, Process Improvement, Product Development, Product Management, Product Support, Project/Program Management, Prototyping, Python Programming/Scripting Language, Quality Engineering, R Programming Language, Recruiting/Staffing Agency, Regulatory Compliance, Regulatory Requirements, Reliability Engineering, SQL (Structured Query Language), Sales, Sales Management, Scientific Research, Software Engineering, Statistical Programming Languages, Statistics, Stock Purchase Plans, Structural Engineering, Technical Consulting, Technical Leadership, Testing, User Interface/Experience (UI/UX), YouTube
LOCATION
Mountain View, CA
POSTED
1 day ago

Senior Research Data Scientist, CoreX, YouTube - Google Careers

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Senior Research Data Scientist, CoreX, YouTube

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corporate_fareYouTubeplaceSan Bruno, CA, USA; Mountain View, CA, USA

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

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XNote: 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.
  • 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 3 years of work experience with a PhD degree.
  • 5 years of experience using Python for statistical programming.

Preferred qualifications:

  • 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

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 CoreX Engineering (Eng) and Program Managers (PM) 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. YouTube (YT) is a product that almost everyone uses, but some are yet to find their corner of YT that speaks to them.

In this role, you will be understanding YouTube users at a deeper level with a view towards responsibly improving engagement and business generation opportunities, especially for specific cohorts of users who have the strongest headroom for growth. You will supports improving growth via better interventions for strategic user segments, notifications, new user onboarding, UI changes to drive user engagement and growth, forecasting and better management of ad load to improve engagement.

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

US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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 to understanding the relationship between ads/business generation and organic engagement on YouTube.
  • 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 knowledge of Google data structures and metrics, advocating for changes where needed for product development.
  • 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.

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.

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.

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