Data Scientist

📋 Description Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) Build, maintain, and evolve marketing mix models and multi-touch attribution Apply causal inference methods to non-RCT questions Develop and validate predictive models for campaign performance Present findings in clear, decision-ready formats 🎯 Requirements Bachelor's or Master's in Statistics, Economics, Data Science, or related 3–5 years applied data science with marketing measurement focus Hands-on experiment design and analysis (A/B, geo, holdout) Strong Python (pandas, statsmodels, scikit-learn, PyMC) and SQL Solid grounding in statistical inference, regression, and causal methods Excellent communication and attention to detail 🎁 Benefits Fully remote work environment Competitive salary and equity opportunities Performance bonuses Health, dental, and vision benefits Lunch stipend, wifi, phone, and hardware reimbursements Flexible PTO and bi-annual corporate offsites