Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy
Toronto, Canada · Staff+ · Contract
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About the role
- It's built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
- Every day, Reddit users submit, vote, and comment on the topics they care most about.
- With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet's largest sources of information.
Responsibilities
- Build Trusted Measurement and Evaluation Frameworks: Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement.
- Partner with modeling and ranking teams to translate measurement improvements into performance gains.
- Guide Privacy-Aware Ads Measurement: Lead a privacy-first measurement paradigm, positioning Reddit as a market leader in trusted advertising by recovering signal utility through compliant modeling.
- Create Durable Data Science Infrastructure and Standards: Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices.
- Build repeatable systems that improve how Ads DS evaluates launches, monitors regressions, sizes opportunities, and communicates impact.
- Influence Senior Cross-Functional Strategy: Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions.
- Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization.
- Family Planning Support
Requirements
- Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience.
- 10+ years of industry experience in data science, applied science, economics, statistics, or a related quantitative role.
- Deep expertise in ads measurement, experimentation, causal inference, attribution, marketplace measurement, or ads optimization.
- Proven track record leading ambiguous, cross-functional, multi-pillar problem spaces with measurable business impact.
- Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products.
- Advanced proficiency in SQL and Python or R.
- Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication.
- Demonstrated ability to mentor senior ICs and improve technical standards across a data science organization.
- Experience with ads identity, conversion modeling, signal loss, modeled conversions, match-rate optimization, or identity graph evaluation.
- Experience with lift measurement, brand lift, conversion lift, incrementality testing, MMM, MTA, or third-party measurement partnerships.
- Required
- Strong command of statistical modeling, experimental design, causal inference, and measurement methodology.
- Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas.
- Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency.
- Preferred
Benefits
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Mental Health & Coaching Benefits
- Comprehensive Medical Benefits & Health Care Spending Account
- Registered Retirement Savings Plan with matching contributions
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Equal opportunity
- equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.
- If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Visa & Work Authorization
- You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
This listing is sourced directly from Reddit's careers page and normalized into a canonical job model.