Data Scientist Tech Lead, YouTube Ads

YouTube

Mountain View, CA

Full Time

Senior

197k-291k

9 days ago

Job Description

About the Role

In this role, you will serve as a Technical Lead (TL) for a hybrid team of Data Scientists and Software Engineers to grow the YouTube Ads business by optimizing YouTube's marketplace. You will work with a team of ML engineers, Software engineers, Data Scientists and Product Managers, to study user ad engagement behavior that aligns with advertiser objectives and will model the impact of ads on users' short-term and long-term behavior. You will leverage these models to optimize bidding and pricing, so to ensure optimal combination of advertiser performance and user experience.

Key Responsibilities

Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.
Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
Use custom data infrastructure or existing data models as appropriate, using specialized knowledge.
Design and evaluate models to mathematically express and solve defined problems with limited precedent.
Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
Own the process of gathering, extracting, and compiling data across sources via tools (e.g., SQL, R, Python).
Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Formulate advanced statistical and machine learning models, distributed data processing pipelines.

Requirements

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
Experience with Machine Learning, Game Theory.
Experience as a people manager within a technical leadership role.
Strong skills in data extraction, statistical modeling, and stakeholder management.

Nice to Have

10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

Qualifications

Master's degree in a relevant quantitative field.
At least 8 years of relevant work experience or 6 years with a PhD.

Benefits & Perks

Base salary range of $197,000-$291,000 plus bonus, equity, and benefits.
Additional benefits as offered by Google.

Working at YouTube

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.

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