Senior Data Scientist, Ads Planning

Company : Google
Location : Los Angeles, CA, 90001
Posted Date : 17 October 2025
Job Type : Other
Category : Mathematics
Occupation : Data Scientist
Job Details
Senior Data Scientist, Ads Planning
The YouTube Ads data science team powers Ads' strategic product decisions with a data-driven and objective perspective, insights, and recommendations.
In this role, you will partner with the Ads Planning Metrics team to support Ads Planning's journey toward becoming an insight-driven organization, fueling business and product decision-making with data and metrics at scale. The data science team supports this mission by designing scalable solutions for Ads Planning randomized controlled trials.
Responsibilities:
- Lead the data science design of the next generation platform for Ads Planning experimentation, utilizing randomized controlled trials and statistics to evaluate and guide future Ads Planning initiatives.
- Design and analyze experiments, including randomized controlled trials, to measure and guide the impact of critical Ads Planning initiatives.
- Define key performance indicators and their associated value for both advertisers and Google across various Ads Planning initiatives.
- Formulate metrics that capture the impact of Ads Planning tools on advertiser spend, and reach. Develop methodologies for conducting impact studies for agency and third-party tools.
- Collaborate with cross-functional teams to ensure the feasibility of measurement strategies.
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
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.
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.
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