Staff Data Scientist, Marketing
R
RedditSocial Media
Remote - United StatesFull-TimeStaff
Salary217,000 - 303,900 USD per year
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Job Details
- Experience
- 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.
- Required Skills
- PythonSQLMachine LearningR
Requirements
- 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.
Responsibilities
- 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.
- Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to mathematically quantify the incremental impact of marketing spend.
- 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.
- 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.
- Collaborate deeply with Marketing, Growth, and Finance to translate complex data insights into actionable budget shifts.
- Mentor junior scientists and set the technical bar for code quality and statistical rigor across the Marketing organization.
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