Staff Data Scientist, Marketing

Reddit, Inc.

Staff Data Scientist at Reddit leading marketing intelligence strategy and optimization of marketing spend. Focusing on B2B marketing and B2C growth with high autonomy and impact.

Posted 5/5/2026full-timeRemote • 🇺🇸 United StatesLead💰 $217,000 - $303,900 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Set Long-Term Marketing Strategy: Define the 2–3 year technical roadmap for marketing measurement. Establish the "North Star" metrics and frameworks that determine how Reddit allocates hundreds of millions in marketing budget.
Optimize Marketing ROI: Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend.
Bridge B2B & B2C Growth: Design unified frameworks to optimize marketing aimed at both new advertisers (driving revenue) and new users (driving engagement), identifying synergies where brand awareness for one fuels growth for the other.
Advance Causal Inference & Experimentation: Lead the design of complex "always-on" incrementality testing and geo-holdout experiments. Develop methodologies to measure the long-term "halo effect" of brand marketing on organic growth.
Lead Through Influence: Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts.
Be the Technical Guide for the Team: Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization.

Requirements

What you’ll need

Education: Advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
Experience: For M.S. holders: 10+ years of industry experience in marketing science, growth data science, or econometrics.
Experience: For Ph.D. holders: 6+ years of industry experience.
Domain Expertise: Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction.
Technical Skills: Advanced proficiency in Python or R and SQL. Experience building production-grade data pipelines and using machine learning for predictive modeling (e.g., churn prediction, lead scoring).
Strategic Communication: Proven track record of influencing C-suite stakeholders and "translating" complex statistical concepts into business strategy.
Adaptability: Experience working in fast-paced environments where you must navigate ambiguity and build frameworks from the ground up.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Marketing Mix ModelingIncrementality TestingCustomer Lifetime Value predictionPythonRSQLData pipelinesMachine learningPredictive modelingChurn prediction

Soft Skills

Strategic CommunicationInfluencing stakeholdersMentoringCollaborationAdaptabilityProblem-solvingData translationLeadershipOrganizational skillsNavigating ambiguity

Certifications

Advanced degreeMaster’s degreePh.D.