Business Data Scientist, YouTube+, GBO Product Finance
corporatefare_ YouTube place San Bruno, CA, USA; Mountain View, CA, USA; +2 more; +1 more
Mid
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; New York, NY, USA .
Minimum qualifications:
Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Preferred qualifications:
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience with code management concepts (Google3, Cider, Blaze) and to evolve at pace with AI.
About the job
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
As a Business Data Scientist on the Global Business Organization (GBO) Product Finance team, you won't just analyze data, you will shape the commercial strategies of global entertainment and digital advertising. Within YouTube+, you will sit at the intersection of our massive Ad and Consumer ecosystems. You will leverage exceptional datasets to drive high-stakes, data-grounded business decisions.
This role is a dynamic sandbox for advanced statistical methodologies, causal inference, and econometrics. You will design, test, and deploy rigorous analytical frameworks that evolve our Global Business Organization's multi-year priorities, metrics, and long-term strategies, directly influencing how billions of users and creators experience YouTube.
What You'll Do
Drive Methodological Innovation: Advocate active experimentation and advanced statistical methodologies to evaluate product performance and enhance consumer and creator experiences.
Lead Strategic Problem-Solving: Transform complex datasets into convincing, principled business narratives that present the Finance Point of View.
Influence Global Priorities: Own long-term projects that redefine YouTube's global metrics, forecasting models, and organizational strategies, contributing directly to statistical incrementality.
Collaborate and Partner: Build cross-functional relationships with product, engineering, finance, and economics leaders, using data storytelling to steer executive decisions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits
Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Responsibilities
Lead a portfolio of data-driven analysis projects within a technical team to guide and support decision making for YouTube.
Build relationships with the YouTube team and present the Finance Point of View (POV) in various decision-making forums.
Design infrastructure and tooling to assess the value customers derive from YouTube products (such as DemandGen and Brand), and identify opportunities to accelerate budgets.
Build tooling to decompose growth drivers and surface areas of opportunity across all regions and channels.
Drive the development of next-generation opportunity sizing methods and tooling, collaborate with partner teams (e.g. Brand Planner) to deliver consistent, high-quality work to leaders and sellers, including contributing to the statistical incrementality workstream and co-developing new methodologies with Econ.
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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/) .
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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/OFCCPEEOPost.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.
