Staff Data Scientist - Ads Measurement, Signals, Privacy

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

Staff Data Scientist role focused on Ads Measurement, Signals, and Privacy at Reddit. Responsibilities include developing probabilistic models for identity resolution, advancing lift methodologies and experimentation, defining strategy for new signal sources, and establishing ground truth and evaluation frameworks for identity and measurement. Requires advanced degree and significant industry experience in applied science or data science, with expertise in statistical programming, machine learning/optimization, and experimental design/causal inference.

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 (for M.S. holders)
  • 6+ years of industry experience (for Ph.D. holders)
  • Deep understanding of the ads ecosystem
  • 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

  • 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
  • 6+ years of industry experience in applied science or data science roles
  • Deep understanding of the ads ecosystem
  • Experience with machine learning or optimization techniques
  • Strong understanding of experimental design, causal inference, or A/B testing methodologies

Other signals

  • develop/employ probabilistic models for identity resolution
  • define the strategy for new signal sources
  • mathematically quantify the value of these signals
  • work with modeling teams to incorporate them into predictive models
  • Define Ground Truth & Evaluation Frameworks
  • Design the objective functions and truth sets used to train our models
  • measure the incremental impact of our identity graph