Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy

Reddit
United States
Workplace: RemoteFull timeUSD 232,500 - 325,500 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: mastersSkills: ["Cross-functional influence","Technical communication","Mentorship","Strategic foresight","Hands-on execution"]

Lead Ads Data Science strategy for measurement and signal systems that help prove advertiser value, improve signal quality, and build privacy-aware measurement. Own the scientific vision across experimentation, causal inference, lift/attribution, identity, and privacy-safe 1P/3P measurement. Create trusted evaluation frameworks and scalable diagnostics, partner with Ads Engineering and modeling/ranking teams to operationalize causal models, and mentor senior data scientists to raise technical standards across Ads DS.

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FursaFursa
Reddit
Reddit
1 month ago

Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy

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Last checked: 55 minutes agoStatus: Live

Job Summary

Lead Ads Data Science strategy for measurement and signal systems that help prove advertiser value, improve signal quality, and build privacy-aware measurement. Own the scientific vision across experimentation, causal inference, lift/attribution, identity, and privacy-safe 1P/3P measurement. Create trusted evaluation frameworks and scalable diagnostics, partner with Ads Engineering and modeling/ranking teams to operationalize causal models, and mentor senior data scientists to raise technical standards across Ads DS.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define the long-term data science vision and strategy for ads measurement, signal quality, identity, attribution, and privacy.
  • •Build trusted measurement and evaluation frameworks for lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement.
  • •Advance experimentation and causal inference methodologies across lift measurement, split testing, and emerging measurement products; improve study quality and diagnostics.
  • •Quantify how signals, identity, and privacy changes affect advertiser outcomes (e.g., bidding efficiency, CPA, ROAS) and partner to connect measurement to performance gains.
  • •Mentor staff and senior data scientists and lead cross-org standards (dashboards, scorecards, quality metrics, best practices) across Ads Data Science.

Pay and Benefits

Salary: USD 232,500 - 325,500 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kParental LeavePaid Leave

Key Requirements

  • •10+ years of industry experience in data science, applied science, economics, statistics, or a related quantitative role.
  • •Advanced degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics) or equivalent industry experience.
  • •Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization.
  • •Strong statistical modeling, experimental design, causal inference, and measurement methodology, including defining metrics and evaluation frameworks with quality guardrails.
  • •Advanced proficiency in SQL and Python or R.
Experience:10+ yearsAds measurementExperimentationCausal inferenceAttributionPrivacy-aware measurementAd techMarketplace measurement
Education:Master's
Skills:Cross-functional influenceTechnical communicationMentorshipStrategic foresightHands-on execution
Languages:English
Tech Stack:SQLPythonR

Company Brief

Reddit
Operates Reddit, a large online community and discussion platform where users submit content, comment, and vote across topic-based communities (subreddits); monetizes via advertising, premium subscriptions, and awards.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2005
WebsiteLinkedIn