Principal Data Scientist, Ads
$268K–$365K
Remote - United States · Remote · Principal · Full-time · Posted Oct 14, 2025
- Experience
- M.S. holders: 12+ years in applied science, data science, or machine learning engineering roles; Ph.D. holders: 8+ years of relevant experience in these roles.
- Education
- Master’s or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline.
About the job
Leads the strategic design of data science methods and systems that measure, predict, and optimize Reddit’s advertising marketplace and advertiser outcomes.
What you'll do
- Own the long-term evolution of Ads Data Science solutions and infrastructure, and set the scientific roadmap for marketplace improvements.
- Develop and guide statistical, economic, predictive, and causal methods for areas such as advertiser lifetime value, full-funnel acceleration, and advertising measurement.
- Set scientific standards, influence cross-functional technical direction, and mentor data scientists and engineering partners.
What they ask for
- Expertise in at least one area: ads marketplace understanding, auctioning/bidding, ads creative and format evaluation, or measurement and experimentation at scale.
- Master’s or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline.
- Advanced proficiency in statistical programming (Python or R) and SQL; experience with statistical analysis, economic modeling, machine learning, or optimization.
- Strong understanding of experimental design, causal inference, or A/B testing; proven experience influencing technical direction in organizations of 500+ engineers/data scientists.
Pay
$268,000–$365,100 USD base salary
Tools
Python, R, SQL
AI focus
Uses advanced quantitative methods, including machine learning, causal inference, and economic modeling, to improve advertising measurement, prediction, and optimization.
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