Staff Data Scientist

About the role

Reddit is seeking a seasoned Staff Data Scientist to enhance the advertising intelligence that drives the advertiser experience. This role offers significant autonomy and impact, allowing you to shape strategic decisions, uphold technical standards, and lead cross-functional projects within the advertising domain.

Key facts

What you'll do

• Develop and implement probabilistic models for resolving user identities, creating methods to link on- and off-platform activities while respecting privacy.
• Oversee the statistical integrity of Reddit's Brand and Conversion Lift products, innovating experimental designs and building infrastructure for large-scale, efficient testing.
• Define strategies for incorporating new data sources, quantifying their value, and collaborating with modeling teams to improve bidding efficiency and return on ad spend.
• Establish frameworks for defining ground truth and evaluating the accuracy of identity resolution and measurement systems.
• Partner closely with engineering, product, and sales teams to align on objectives, translate insights into actionable plans, and drive execution.
• Mentor colleagues and promote best practices in modeling, experimentation, and measurement.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Physics, Economics, or Operations Research.
• For Master's degree holders: 10+ years of professional experience in applied science or data science.
• For Ph.D. holders: 6+ years of professional experience in applied science or data science.
• Thorough understanding of the advertising technology ecosystem.
• Proven expertise in at least one of these areas:
• Large-scale measurement and experimentation, including lift and attribution.
• Identity graph creation, resolution methodologies, and infrastructure.
• Predictive modeling with considerations for signal degradation.
• Advanced skills in statistical programming (Python or R) and SQL.
• Experience with machine learning or optimization techniques.
• Strong knowledge of experimental design, causal inference, or A/B testing.
• Excellent problem-solving and communication abilities, with a history of influencing product and engineering partners.
• Experience working in dynamic, cross-functional environments.

Nice to have

• None specified.

Skills & tools

• Python or R
• SQL
• Machine Learning
• Optimization
• Experimental Design
• Causal Inference
• A/B Testing

Practical notes

• Benefits include comprehensive healthcare, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health and coaching benefits, flexible vacation, paid volunteer time off, and generous paid parental leave.
• Interviews may be recorded, transcribed, and summarized by AI; candidates will have the option to opt out.
• Personal information collected during interviews will be used for evaluation and will not be sold or shared for marketing purposes. Interview recordings will be deleted promptly after a hiring decision.
• Reddit is an equal opportunity employer and is committed to reasonable accommodations for individuals with disabilities.