Job Url: https://job-boards.greenhouse.io/reddit/jobs/6706371

Job Description: 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.
Qualifications:

Required:
Ads experience and a deep understanding of the ads ecosystem
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
Demonstrated expertise in at least one of the following:
Auction Design & Optimization
Targeting, Personalization & Lookalike Modeling
Ads Creative & Format Evaluation
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.
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.