Senior Business Data Science Manager, YouTube Marketing
About The Position
YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) is an analyst team that influences and informs YouTube’s marketing and products teams. We work on projects that are at the heart of the go-to-market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed. This role will lead to a team that drives full stack measurement and insights for YouTube shopping and creator marketing. In this role, you will work closely with YouTube’s marketing and product to grow our creator community with life-cycle communications that drive valuable creator actions (e.g., joining our shopping business generation programs, enabling channel memberships, adopting new features etc). You will develop an understanding of creator propensity and uplift from marketing such that interventions achieve outsized return on investment and are driving meaningful creator interactions. You will also shape our initial viewer marketing to drive YouTube shopping, working closely with marketing, product, and engineering. You will ensure experimentation plans and signal mapping can grow awareness and adoption of YouTube shopping for our viewers.
Requirements
- Master's degree in a quantitative discipline such as Statistics, Engineering, Computer Sciences or equivalent practical experience.
- 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis.
- 5 years of experience as a people manager within a technical leadership role.
- Experience in causal inference, A/B testing, statistical modeling, or machine learning.
- Experience in SQL and Python programming, leveraging ML or statistical libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas).
Nice To Haves
- Experience with causal inference or bayesian statistics.
Responsibilities
- Lead a team of business data scientists and analysts in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business.
- Embed with marketing leadership on YouTube shopping and YouTube creators to understand their high level goals and translate those into data science and investigative priorities.
- Design experiments and use causal inference to measure effectiveness of models, tools, and programs.
- Drive internal visibility and opportunities for the team, define team strategy in partnership with leadership and stakeholders, and remove technical and organizational blockers.
- Build a team with a collaborative and growing growth culture.
- Develop team to reach their career goals through coaching and development opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
5,001-10,000 employees
