Reddit's Ads Data Science team aims to maximize advertiser value on Reddit through data-driven insights, experimentation, and advanced data science methods, focusing on areas like ad targeting, relevance modeling, auction optimization, and measurement. The Staff Data Scientist role is crucial for advancing the intelligence powering Reddit's two-sided ads marketplace.
Requirements
- Demonstrated expertise in at least one of the following:
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- Auction Design & Optimization
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- Targeting, Personalization & Lookalike Modeling
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- Ads Creative & Format Evaluation
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- Measurement & Experimentation at Scale
- Advanced proficiency in statistical programming (Python or R) and SQL.
- Experience with machine learning or optimization techniques
- Strong understanding of experimental design, causal inference, or A/B testing methodologies.
Responsibilities
- Drive Strategic Impact Across Ads Domains: Take end-to-end ownership of complex problem spaces such as auction optimization, auto-bidding, ad creative performance, personalization, and targeting.
- Develop Advanced Models and Frameworks: Build and deploy predictive models, optimization frameworks, and decision-support systems that power Reddit’s ad platform and marketplace health.
- Translate Ambiguity into Measurable Outcomes: Define core business and performance metrics, and design robust methodologies to measure the impact of product and modeling changes on advertiser ROI and user experience.
- Lead Through Cross-Functional and Technical Influence:: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.
- Drive Innovation in Ad Systems: Leverage causal inference, auction theory, and large-scale data systems to solve novel problems in a rapidly evolving ad marketplace.
Other
- Master's or Ph.D. in Statistics, Computer Science, Economics, Operations Research, or a related quantitative discipline.
- For M.S. holders: 10+ years of industry experience in applied science, data science, or machine learning engineering roles
- For Ph.D. holders: 6+ years of relevant experience applied science, data science, or machine learning engineering roles
- Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners.
- Experience working in fast-paced, ambiguous environments with cross-functional teams.
