data
Posted 3 hours agoSr. Staff Data Scientist - Ads Measurement, Signals, Privacy
at Redditinc
United StatesRemote
Responsibilities
- Advance Experimentation and Causal Inference at Scale: Lead the evolution of Reddit’s experimentation and lift methodologies across Brand Lift, Conversion Lift, Split Testing, and emerging measurement products.
- Improve study quality, reduce bias and contamination, and develop scalable diagnostics for experiment health, feasibility, and interpretability.
- 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.
- Uplevel the Data Science Organization: Mentor Staff and Senior data scientists, sponsor high-impact technical work, and raise the bar for causal inference, measurement science, identity evaluation, data quality, and cross-functional decision-making across Ads DS.
Requirements
- With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
- This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards.
- Advanced degree in Statistics, Economics, Mathematics, Computer Science, Operations Research, Physics, or a related quantitative field, or equivalent industry experience.
- experience in data science, applied science, economics, statistics, or a related quantitative role.
- Advanced proficiency in SQL and Python or R.
- Demonstrated ability to mentor senior ICs and improve technical standards across a data science organization.
- Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency. Preferred •
- 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. • •
- Experience partnering with ranking, bidding, or machine learning teams to connect measurement quality to optimization outcomes.
- Familiarity with two-sided marketplaces, auction systems, performance advertising, or advertiser-facing measurement products. •
- Additionally, Reddit offers a wide range of
- In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI).
Experience
- 10+ years of industry
Benefits
- Demonstrated ability to balance long-term strategic vision with hands-on execution of complex technical ideas.
- Benefits and Income Replacement Programs
- 401k with Employer Match
- Gender-Affirming Care
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave #LI-Remote Pay Transparency:
- 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.
- 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.
- 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.
- The base salary range for this position is: $232,500 — $325,500 USD
Contact
- For more information, visit www.redditinc.com .
- To learn more, please visit https://www.redditinc.com/careers/ .
Additional details
- It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet.
- You will not just adapt to the changing ad-tech environment, you will redefine how we measure value. Responsibilities
- Partner with Ads Engineering to operationalize complex causal models, ensuring that scientific methodologies are not only accurate but also performant, scalable, and resilient in high-throughput production environments.
- 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.
- Strong command of statistical modeling, experimental design, causal inference, and measurement methodology. •
- Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products.
- Ability to influence senior product, engineering, and business leaders through clear technical judgment and communication.
- Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization. Benefits:
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support