Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy
Remote - United States · Staff+ · Contract
Sponsorship not specified$233k-$326kDetected 1 day ago
PythonSQLMachine LearningData ScienceStatisticsA/B TestingResearchExperimental DesignLeadershipMentoring
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 126 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.
- Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices.
- Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions.
- 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
Compensation
- In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.
- To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state.
- We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
- In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.
- Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.
Equal opportunity
- Reddit is proud to be an 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.