Staff Data Scientist, Marketing
New
R
RedditMarketing science
Listing locations: USAFull-TimeStaff
SalaryThe base salary range for this position is: $217,000 — $303,900 USD
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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
- Hold an advanced degree (Master’s or Ph.D.) in Statistics, Economics, Mathematics, or a related quantitative field.
- Have 10+ years of industry experience in marketing science, growth data science, or econometrics with an M.S.; 6+ years with a Ph.D.
- Have hands-on experience with Marketing Mix Modeling (MMM), incrementality testing, and Customer Lifetime Value (LTV) prediction.
- Demonstrate advanced proficiency in Python or R and SQL.
- Have experience building production-grade data pipelines.
- Have experience using machine learning for predictive modeling, such as churn prediction or lead scoring.
- Show a track record of influencing C-suite stakeholders and translating statistical concepts into business strategy.
- Have experience navigating ambiguity and building frameworks from the ground up in fast-paced environments.
- Preferred: experience with Bayesian structural time series or causal inference libraries.
- Preferred: experience in a high-growth marketplace or social media platform.
Responsibilities
- Define the 2–3 year technical roadmap for marketing measurement and establish North Star metrics and allocation frameworks.
- Build and refine Media Mix Models (MMM) and Multi-Touch Attribution (MTA) systems to quantify incremental marketing impact.
- Design frameworks to optimize marketing for new advertisers and new users, identifying synergies between B2B and B2C growth.
- Lead always-on incrementality testing and geo-holdout experiments.
- Develop methodologies to measure the long-term halo effect of brand marketing on organic growth.
- Collaborate with Marketing, Growth, and Finance to translate data insights into budget shifts.
- Mentor junior scientists and set standards for code quality and statistical rigor.
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