Staff Machine Learning Scientist, Applied Causal Inference

The role

You will design, build, and productionize causal ML systems for New Verticals. You will work on uplift models, counterfactual evaluation frameworks, and surrogate metrics to influence marketplace decisions.

What you will do

• Design, build, and productionize causal ML systems
• Build uplift and heterogeneous treatment effect models
• Develop counterfactual evaluation frameworks
• Build systems connecting experimentation, observational data, and ML decisioning
• Design surrogate metrics and early indicators
• Partner with econometrics and analytics leaders to choose methods
• Translate causal models into production systems
• Raise the bar for causal reasoning across ML teams

Required qualifications

• Deep practical experience with causal inference, econometrics, experimentation, or causal ML
• Experience shipping models or decision systems in production
• Strong judgment around tradeoffs between randomized experiments, observational estimation, and model-based decisioning
• Comfort debating and applying methods such as doubly robust estimation, double ML, IV, diff-in-diff, CUPED, uplift modeling, contextual bandits, and off-policy evaluation
• Strong ML engineering ability to build pipelines, train models, and evaluate them
• Strong product judgment to connect methods to business decisions
• Ability to operate across functions with ML engineers, economists, data scientists, product managers, and business leaders

Nice to have

• Experience in consumer marketplaces, ads, recommendations, search, pricing, promotions, logistics, fintech, or other high-scale settings

Benefits

• 401(k) plan with employer matching
• 16 weeks of paid parental leave
• Wellness benefits
• Commuter benefits match
• Paid time off
• Paid sick leave
• Medical, dental, and vision benefits
• 11 paid holidays
• Disability and basic life insurance
• Family-forming assistance
• Mental health program
• Equity grants

About the company

DoorDash is a technology and logistics company that started by enabling door-to-door delivery. The company aims to empower local economies and expand into all types of goods.