Staff Data Scientist - Ads Measurement, Signals, Privacy

Details

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. This role focuses on measurement, identity, and signal quality within advertising. It offers high impact and autonomy, with responsibility for influencing strategic direction, setting a high technical bar, and driving cross-functional initiatives across the Ads organization.

Responsibilities

• Develop and employ probabilistic models for identity resolution, designing methodologies that link on-platform and off-platform actions while maximizing addressability and honoring privacy.
• Own the statistical rigor behind Reddit’s Brand and Conversion Lift products.
• Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.
• Define strategies for new signal sources, mathematically quantify their value, and work with modeling teams to incorporate them into predictive models to improve bidding efficiency and return on ad spend.
• Design objective functions and ground-truth sets used to train models and measure the incremental impact of Reddit’s identity graph.
• Collaborate with engineering, product, and sales teams to align on strategic goals, translate insights into action, and drive execution.
• Mentor others and champion best practices across modeling, experimentation, and measurement.

Requirements

• 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 at least one of the following areas:
  • Measurement and experimentation at scale, with a focus on lift and attribution.
  • Identity graph creation, resolution methodology, and infrastructure.
  • Predictive modeling with signal loss.
• Advanced proficiency in statistical programming with 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.

Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401(k) with employer match.
• Global benefit programs covering workspace, professional development, and caregiving support.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
• Eligibility for equity in the form of restricted stock units.
• U.S.-based employee benefits including medical, dental, and vision insurance.

The base salary range for this position is $217,000–$303,900 USD. The role may span more than one career level and may be eligible for commission depending on the position offered.