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Sr. Staff Data Scientist Ads Measurement, Signals, Privacy

Reddit


Job Location:

Toronto - Canada

Monthly Salary: Not provided by the employer
Posted: 5 August 2026 (28 days ago)
Application Deadline: 2 November 2026
Vacancies: 1 Vacancy

Job Summary

Reddit is a community of communities. Its 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 100000 active communities and approximately 130 million daily active unique visitors Reddit is one of the internets largest sources of information. For more information visit .

Reddits Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddits 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.

As a Senior Staff Data Scientist for Ads Measurement you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement a landscape rapidly shifting due to privacy regulations browser changes and evolving platform dynamics you will spearhead innovation across experimental design (incrementality/lift) identity signals and privacy-safe 1P/3P measurement.

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. You will not just adapt to the changing ad-tech environment you will redefine how we measure value.

Responsibilities
  • 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 Reddits 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.
  • Connect Signals Identity and Ranking Outcomes: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.
  • 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. 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.
Qualifications
Required
  • 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.
  • 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.
  • 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.
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 working on privacy-constrained measurement clean rooms aggregation consent-aware systems or privacy-preserving modeling.
  • 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.

Benefits:

  • Global Benefit programs that fit your lifestyle from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Comprehensive Medical Benefits & Health Care Spending Account
  • Registered Retirement Savings Plan with matching contributions
  • Income Replacement Programs
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

#LI-Remote

In select roles and locations the interviews will be recorded transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording transcription and summarization prior to any scheduled interviews.

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. We will delete any recording of your interview promptly after making a hiring decision. 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.


Required Experience:

Staff IC


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