Product Activation Incentives Technical Analyst, YouTube

Google LLC

San Bruno, CA

JOB DETAILS
SKILLS
Analysis Skills, Business Analysis, Business Intelligence, Business Strategy, Centralized Operations/Management, Channel Strategies, Cloud Computing, Computer Science, Construction, Cross-Functional, Data Analysis, Data Management, Data Science, Data Sets, Data Warehousing, Database Programming Languages, Economics, Ecosystems, English Language, Equal Employment Opportunity (EEO), Fonts, Funding, Genetics, Illustrating Ability, Leading Edge Technology, Mathematics, Network Operations Center, Operations Management, Organizational Development/Management, Podcasting, Predictive Modeling, Pricing, Problem Solving Skills, Process Improvement, Product Management, Product Pricing, Project/Program Management, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Relational Databases (RDBMS), Retail, SQL (Structured Query Language), Software Development, Software Engineering, Space Science, Statistics, Stock Purchase Plans, Strategic Analysis, Systems Administration/Management, Technical Analysis, Technical Leadership, YouTube
LOCATION
San Bruno, CA
POSTED
10 days ago

Product Activation Incentives Technical Analyst, YouTube - Google Careers

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Product Activation Incentives Technical Analyst, YouTube

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corporate_fareYouTubeplaceSan Bruno, CA, USA; New York, NY, 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; New York, NY, USA.

Minimum qualifications:

  • Bachelor's degree in Engineering, Computer Science, a related technical field, or equivalent practical experience.
  • 3 years of experience using Python or similar languages for building, validating, and deploying predictive models (e.g., propensity, classification).
  • 3 years of experience with data analysis, relational databases, and SQL.

Preferred qualifications:

  • Master's degree in Data Science, Engineering, Mathematics, Statistics, Economics, Applied Science, or a related field.
  • 5 years of experience in the technical analytics space (data science, data engineering, product analyst, business analyst, business intelligence, etc.).
  • Experience using Python for the full modeling lifecycle, from feature engineering and model selection to productionalization.
  • Experience drawing insights from data sets using SQL to drive both business and technology decisions.

About the job

The YouTube Business Central Strategy and Operations team is responsible for leading global, cross-functional initiatives to drive the unprecedented growth and health of the YouTube creator and partner ecosystem. Within the broader team goal, the Incentives Strategy and Analytics team is responsible for designing and operationalizing the core product activation system for YouTube"s partner managers.

As a Product Activation Incentives Technical Analyst within this team, you will be part of the engine driving the activation of key YouTube products globally and at scale. In this role, you will be responsible for improving our recommendations and pricing models to maximize the impact of partner managers.

You will be an individual with a bias toward action and a knack for solving "messy" business problems. You will be a systems thinker who enjoys using Python and SQL to deploy predictive models that power YouTube's incentive systems and product activation at scale.

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: $126000 - $181000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Design and build predictive models to power product activation recommendations for YouTube product priorities like shopping, fan funding, podcasts, etc.
  • Generate useful product activation insights and reporting to inform product Go-to-market (GTM) and program strategy.
  • Improve YouTube Business Organization's central scaled incentives system through design levers like pricing, goals, etc.
  • Own problem solving lifecycle from generating hypotheses, analyzing data, distilling insights to communicating recommendations in a structured way.
  • Develop and deploy propensity models using Python, integrating them directly into automated data pipelines to scale predictive insights across the YouTube ecosystem, and navigate YouTube"s data warehouse to access and work with relevant data using SQL and other query languages.

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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