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X Note: 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 jobThe 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.
The US base salary range for this full-time position is $126,000-$181,000 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- 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.
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