# Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy **Company**: Reddit **Location**: Remote - United States **Work arrangement**: remote **Experience**: senior **Job type**: full-time **Salary**: $232,500-$325,500 USD **Category**: Data Science **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/reddit/jobs/8072046?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_d9fcbeb8-a98 ## Description 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. 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 ecosystem. ## Responsibilities - Define the long-term data science vision and 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. - Create rigorous frameworks for validating lift, attribution, identity quality, modeled conversions, signal loss recovery, and privacy-aware measurement. - 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. - 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. - 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. - 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 - 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 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. - Experience building durable internal frameworks, training programs, scorecards, or methodology standards adopted across an organization. ## Benefits - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - 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 - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave ## Skills ### Required - ads measurement - experimentation - causal inference - attribution - marketplace measurement - ads optimization - statistical modeling - experimental design - measurement methodology - SQL - Python - R ### Nice to have - ads identity - conversion modeling - signal loss - modeled conversions - match-rate optimization - identity graph evaluation - lift measurement - brand lift - conversion lift - incrementality testing - MMM - MTA - third-party measurement partnerships --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/reddit/jobs/8072046?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)