Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 6 SQL @ 6 A/B Testing @ 7 R @ 6 Statistics @ 4 Machine Learning @ 4 Data Science @ 4 Communication @ 4 Performance Optimization @ 7 Experimentation @ 4Details
Reddit is a community-driven platform with over 100,000 active communities and approximately 101M daily active unique visitors. Reddit's advertising business is rapidly growing, leveraging passionate communities to build a differentiated ads platform.
About the Ads Data Science Team
The Ads Data Science team uses robust data foundations, metrics, and strategic insights through experimentation and advanced data science methods to maximize advertiser value. The team tackles problems in ads targeting, relevance modeling, auction optimization, measurement, and user experience using machine learning and statistical modeling.
Role Overview
As a Staff Data Scientist on Reddit's Ads Data Science team, you will take deep ownership of critical advertising problem spaces like ad auctions, measurement, advertiser experience, performance optimization, and ad formats. This high-autonomy role involves strategic influence, setting technical standards, and driving cross-functional initiatives.
Responsibilities
- Drive strategic impact in complex ad domains such as auction optimization, auto-bidding, ad creative performance, personalization, and targeting.
- Develop and deploy predictive models, optimization frameworks, and decision-support systems for Reddit’s ads platform.
- Define business and performance metrics and design methodologies to measure product and model impact on advertiser ROI and user experience.
- Collaborate with engineering, product, and sales teams to align strategic goals, translate insights into action, and mentor others.
- Innovate ad systems using causal inference, auction theory, and large-scale data systems.
Qualifications
- Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, or related quantitative fields.
- For Master's degree holders: 10+ years industry experience in applied science, data science, or machine learning engineering.
- For Ph.D. holders: 6+ years relevant experience in applied science, data science, or machine learning engineering.
- Expertise in at least one: Auction Design & Optimization, Targeting/Personalization/Lookalike Modeling, Ads Creative & Format Evaluation, Measurement & Experimentation at Scale.
- Advanced proficiency in Python or R statistical programming and SQL.
- Experience with machine learning and optimization techniques.
- Strong understanding of experimental design, causal inference, or A/B testing.
- Excellent problem-solving and communication skills.
- Experience working in fast-paced, ambiguous, cross-functional environments.
Benefits
- Comprehensive Healthcare Benefits
- 401(k) Matching
- Workspace benefits for home office
- Personal & Professional development funds
- Family Planning Support
- Flexible Vacation & Reddit Global Wellness Days
- 4+ months paid Parental Leave
- Paid Volunteer time off