Staff Data Scientist – Ads Measurement, Signals, Privacy

This is a fully remote position, open to applicants in United States.

📋 Description

• Shape the Future of Ads Identity: Create and implement probabilistic models for identity resolution. Design methodologies that connect both on-platform and off-platform activities to enhance addressability while respecting privacy.

• Enhance Lift Methodologies & Experimentation: Take ownership of the statistical integrity behind Reddit’s Brand and Conversion Lift products. Innovate experimental designs and build the infrastructure required for large-scale, rapid, low-bias testing for advertisers.

• Optimize Signal for Predictive Performance: Establish the strategy for new signal sources. You will mathematically assess the value of these signals and collaborate with modeling teams to integrate them into predictive models, directly enhancing bidding efficiency and ROAS.

• Define Ground Truth & Evaluation Frameworks: Address the industry-wide challenge of validating identity and measurement. Develop the objective functions and truth sets used to train our models and assess the incremental impact of our identity graph.

• Lead Through Cross-Functional and Technical Influence: Work closely with engineering, product, and sales teams to align on strategic goals, translate insights into actionable plans, and drive execution. Uphold a high technical standard by mentoring others and promoting best practices in modeling, experimentation, and measurement.

⛳️ Requirements

• 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

• In-depth knowledge of the ads ecosystem

• Proven expertise in at least one of the following areas:

• Measurement & Experimentation at Scale (focusing on lift and attribution)

• Identity Graph Creation & Resolution Methodology and Infrastructure

• Predictive Modeling with Signal Loss

• Advanced proficiency in statistical programming (Python or R) and SQL.

• Experience with machine learning or optimization techniques

• Strong grasp of experimental design, causal inference, or A/B testing methodologies

• Outstanding problem-solving and communication skills, with a proven ability to influence product and engineering partners

• Experience collaborating in fast-paced, ambiguous environments with cross-functional teams

🏝️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs

• 401k with Employer Match

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

• Family Planning Support

• Gender-Affirming Care

• Mental Health & Coaching Benefits

• Flexible Vacation & Paid Volunteer Time Off

• Generous Paid Parental Leave