Reddit

Overview

Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.

About Reddit

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit

Requirements & Eligibility

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 10+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
• Deep understanding of the ads ecosystem
• Demonstrated expertise in Measurement & Experimentation at Scale, Identity Graph Creation & Resolution Methodology and Infrastructure, or Predictive Modeling with Signal Loss
• 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

Key Responsibilities

• Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution and design the methodology that links on-platform and off-platform actions.
• Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products and innovate experimental design.
• Maximize Signal for Predictive Performance: Define the strategy for new signal sources, mathematically quantify their value, and incorporate them into predictive models.
• Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement.
• Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals and mentor others.