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Staff Data Scientist - Ads Measurement, Signals, Privacy

Reddit
Remote - United StatesUpdated 1d ago
Base salary
$217k–$304k
Published base salary range · Top quartile for Data (42 listings)
Location
Remote - United States
Remote eligibility
Employment
Full-time
Staff / Principal
Role family
Data
Media / Creator
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About the job

Reddit is a community of communities, built on shared interests and trust, with 100,000+ active communities and approximately 130 million daily active unique visitors. Reddit's Ads Data Science team is seeking a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience, specializing in measurement, identity, and signal quality.

Responsibilities

  • Design the future of ads identity: develop/employ probabilistic models for identity resolution, linking on-platform and off-platform actions while honoring privacy.
  • Advance lift methodologies & experimentation: own statistical rigor behind Brand and Conversion Lift products, innovate experimental design and infrastructure for large-scale, high-velocity, low-bias testing.
  • Maximize signal for predictive performance: define strategy for new signal sources, quantify value, and work with modeling teams to incorporate into predictive models.
  • Define ground truth & evaluation frameworks: solve validation of identity and measurement, design objective functions and truth sets.
  • Lead through cross-functional and technical influence: collaborate with engineering, product, and sales, mentor others, and champion best practices.

Qualifications

  • Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research.
  • For M.S. holders: 10+ years of industry experience; for Ph.D. holders: 6+ years.
  • Deep understanding of the ads ecosystem.
  • Expertise in at least one: Measurement & Experimentation at Scale (lift/attribution), Identity Graph Creation & Resolution, 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.

Compensation

Base salary range: $217,000—$303,900 USD. Eligible for equity (RSUs) and possibly commission.

Benefits

Comprehensive healthcare, 401k with employer match, flexible vacation, paid parental leave, mental health coaching, family planning support, gender-affirming care, and more.

Application

Apply via the provided Greenhouse link.

Skills & tags

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