Staff Applied Scientist, Experimentation and Causal Inference

What you’d do

Lead the science behind DoorDash's experimentation platform, defining statistical, causal inference, machine learning, and AI methods that help teams design experiments and interpret marketplace results. Partner with engineers, data scientists, product managers, and operators to turn methods into platform capabilities. Found on the employer's careers page on Oct 21, 2026. Apply through the link.

You’ll need

• 6+ years industry or applied research experience
• Statistical and causal inference expertise
• Machine learning or experimentation systems experience
• Measurable business impact