2 months ago
Base Salary
$204k - $299k/yr
Responsibilities
- Design, build, and productionize causal ML systems influencing marketplace decisions across New Verticals.
- Build uplift and heterogeneous treatment effect models for consumer lifecycle value, promotions, retention, and reactivation.
- Develop counterfactual evaluation frameworks for ranking, recommendations, search, promotions, substitutions, and marketplace interventions.
- Connect experimentation, observational data, and ML decisioning to support marketplace tradeoffs.
- Design surrogate metrics and early indicators that preserve long-term marketplace health.
- Select and apply causal inference and econometric methods in partnership with analytics and econometrics leaders.
- Translate causal models into production systems for ranking, targeting, budget allocation, inventory-aware discovery, and consumer growth.
- Promote rigorous causal reasoning and debugging of causal claims across ML teams.
Requirements
- Deep practical experience with causal inference, econometrics, experimentation, or causal ML.
- Experience shipping production models or decision systems, ideally in high-scale settings such as consumer marketplaces, advertising, recommendations, search, pricing, promotions, logistics, or fintech.
- Strong judgment regarding tradeoffs between randomized experiments, observational estimation, and model-based decisioning.
- Practical knowledge of doubly robust estimation, double machine learning, instrumental variables, difference-in-differences, CUPED, uplift modeling, contextual bandits, and off-policy evaluation.
- Strong ML engineering ability, including building reliable pipelines, training models, rigorous evaluation, and production collaboration with platform teams.
- Strong product judgment and ability to connect causal methods to business decisions.
- Ability to work across functions with ML engineers, economists, data scientists, product managers, and business leaders.
Benefits
- Comprehensive benefits package including 401(k) with employer matching, medical, dental, and vision insurance, disability and basic life insurance, wellness benefits, commuter benefits match, family-forming assistance, and mental health programs.
- 16 weeks of paid parental leave, 11 paid holidays, paid time off, and paid sick leave.
- Salaried roles offer flexible paid time off/vacation plus 80 hours of paid sick time per year.
- The role includes opportunities for equity grants.
- The national U.S. base salary range is $203,500–$299,300 USD.
Categories
Data ScienceML Engineering
About DoorDash
DoorDash builds a marketplace and logistics platform that connects consumers with local restaurants and retailers for on-demand delivery and pickup, powered by a network of independent Dashers. It earns through delivery fees, merchant commissions, advertising, DashPass subscriptions, and white-label fulfillment via DoorDash Drive. Founded in 2013 and headquartered in San Francisco, the public company operates across the U.S. and selected international markets, and also researches automation through DoorDash Labs.