[Remote] Staff Data Scientist, Marketing
Note: The job is a remote job and is open to candidates in USA. Reddit is a community-driven platform that is seeking a highly experienced Staff Data Scientist to lead their Marketing Intelligence efforts. The role focuses on optimizing marketing spend through advanced experimentation and causal inference, influencing strategic goals for marketing measurement.
Responsibilities
- 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
Skills
- Advanced degree (Master's or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field
- For M.S. holders: 10+ years of industry experience in marketing science, growth data science, or econometrics
- For Ph.D. holders: 6+ years of industry experience
- Deep understanding of the marketing ecosystem, including hands-on experience with Marketing Mix Modeling (MMM), Incrementality Testing, and Customer Lifetime Value (LTV) prediction
- 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)
- Proven track record of influencing C-suite stakeholders and 'translating' complex statistical concepts into business strategy
- Experience working in fast-paced environments where you must navigate ambiguity and build frameworks from the ground up
- Experience with Bayesian structural time series or causal inference libraries
- Previous experience in a high-growth marketplace or social media platform
- A passion for the Reddit community and an understanding of our unique 'Ads-as-Content' philosophy
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
- Equity in the form of restricted stock units
- Commission (depending on the position offered)
- Medical, dental, and vision insurance
- 401(k) program with employer match
- Generous time off for vacation
- Parental leave
Company Overview
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