Staff Data Scientist, Ads

Reddit Reddit · Consumer · United States · Remote · Ads Data Science

Staff Data Scientist role at Reddit focused on advancing the intelligence powering the advertiser experience, specializing in measurement, identity, and signal quality. The role involves designing probabilistic models for identity resolution, advancing lift methodologies and experimentation, maximizing signal for predictive performance, and defining ground truth and evaluation frameworks. It requires deep understanding of the ads ecosystem and expertise in measurement, identity, or predictive modeling.

What you'd actually do

  1. Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.
  2. Advance Lift Methodologies & Experimentation: 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.
  3. Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.
  4. Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.
  5. Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.

Skills

Required

  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
  • 10+ years of industry experience in applied science or data science roles (for M.S. holders)
  • 6+ years of industry experience in applied science or data science roles (for Ph.D. holders)
  • Deep understanding of the ads ecosystem
  • Expertise in Measurement & Experimentation at Scale (with focus on lift and attribution)
  • Expertise in Identity Graph Creation & Resolution Methodology and Infrastructure
  • Expertise in Predictive Modeling with Signal Loss
  • Advanced proficiency in statistical programming (Python or R)
  • 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
  • Track record of influencing product and engineering partners
  • Experience working in fast-paced, ambiguous environments with cross-functional teams

What the JD emphasized

  • identity resolution
  • measurement
  • evaluation frameworks
  • predictive models

Other signals

  • identity resolution
  • lift methodologies
  • predictive modeling
  • evaluation frameworks