Staff Data Scientist - Ads Measurement, Signals, Privacy Reddit is a community of communities. 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.

Reddit’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes.

Technical Vision & Strategy: Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. Set the Cross-Pillar Measurement Science Strategy: Define the long-term data science strategy across ads measurement, signal quality, identity, attribution, and privacy.

Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products.

Build Trusted Measurement and Evaluation Frameworks: Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. Define ground truth, objective functions, quality metrics, guardrails, and decision frameworks that guide product and engineering investments.

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. 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.

Quantify how signal quality, match rates, identity resolution, modeled conversions, and privacy changes affect bidding efficiency, CPA, ROAS, and advertiser outcomes.



Partner with modeling and ranking teams to translate measurement improvements into performance gains.

Create Durable Data Science

Infrastructure and Standards: Lead cross-org efforts to define reusable methodologies, dashboards, scorecards, quality metrics, and best practices.

Influence Senior

Cross-Functional Strategy: Partner with senior leaders across Product, Engineering, Sales, Marketing Science, Legal/Privacy, and Ads leadership to shape roadmap decisions. Translate complex scientific tradeoffs into clear business and product recommendations.

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. 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. ~ Experience defining metrics, evaluation frameworks, quality guardrails, and decision systems for complex products. ~ Demonstrated ability to balance long-term strategic vision with hands‑on execution of complex technical ideas. ~ 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. ~ Demonstrated agility in adopting AI tools to amplify your personal output, turning complex methodologies into working prototypes with modern speed and efficiency.

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.

Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization.

Comprehensive Medical

Benefits & Health Care Spending Account Registered Retirement Savings Plan with matching contributions Income Replacement Programs In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.

We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.

Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know. Reddit is proud to be an equal chance employer, and is committed to building a workforce representative of the diverse communities we serve.

To bring community and belonging to everyone in the world, Reddit’s employees must represent communities and redditors on our platform. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. Our vision at Reddit is to have a workforce representative of people with different perspectives and experiences, including but not limited to, gender, race and ethnicity, sexual orientation, age, national origin, religion, and political views.

Answering these questions will not impact your application, nor will this information be shared with anyone making a hiring decision.

📌 Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy (Toronto)
🏢 Reddit
📍 Toronto