Sr. Staff Data Scientist - Ads Measurement, Signals, Privacy

Навыки

• Атрибуция
• CAC / CPA / CPL
• Data Quality
• Лидерство
• Machine Learning
• Оптимизация и OR
• Python

Задачи

• 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
• 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
• 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
• Reddit is a community of communities
• 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
• 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
• In 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
• You will not just adapt to the changing ad-tech environment, you will redefine how we measure value

Требования

• 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
• 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

Условия

• 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
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave
• With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information
• For more information, visit www.redditinc.com
• 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

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