[Remote] Staff Data Scientist, Marketing
Note: The job is a remote job and is open to candidates in USA. Reddit, Inc. is a community-driven platform known for its open conversations and vast user base. They are seeking a highly experienced Staff Data Scientist to lead their Marketing Intelligence efforts, focusing on optimizing marketing spend and driving user engagement through advanced data analysis and experimentation.
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
- 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
Company Overview
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