Staff Data Scientist – Ads Measurement, Signals, Privacy
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Job Description
Staff Data Scientist advancing Reddit’s ads measurement, identity, and privacy intelligence. Designing experimentation, identity-resolution, and predictive-modeling methodologies for advertisers.
Responsibilities:
- Develop and employ probabilistic models for identity resolution
- Design methodology linking on-platform and off-platform actions while honoring privacy
- Own statistical rigor for Reddit’s Brand and Conversion Lift products
- Innovate experimental design and develop infrastructure for large-scale, high-velocity, low-bias advertiser testing
- Define strategy for new signal sources and quantify their value mathematically
- Work with modeling teams to incorporate signals into predictive models and improve bidding efficiency and ROAS
- Design objective functions and truth sets for model training and incremental-impact measurement
- Collaborate with engineering, product, and sales on strategic goals and execution
- Mentor others and champion best practices across 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
- Deep understanding of the ads ecosystem
- Demonstrated expertise in Measurement & Experimentation at Scale (with focus on lift and attribution), 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
- 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
- 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
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