Job Description

The Experimentation Platform Team at DoorDash is seeking an Applied Scientist to build cutting-edge experimentation algorithms and work with a team of experts. The role involves developing platforms for data-driven decision-making, focusing on statistical and ML development, and expanding algorithms for large-scale experimentation.

Responsibilities

• Build experimentation platforms
• Drive statistical and ML development
• Expand statistical and causal inference algorithms
• Apply semi-supervised learning and data augmentation strategies
• Advise data scientists and engineers on experimental design

Requirements

• 1+ years of industry experience post PhD or 3+ years of industry experience post graduate degree
• M.S., or PhD. in Statistics, Causal Inference, Experimentation, Computer Science, Applied Mathematics or other related quantitative fields
• Expertise with programming languages like Python, Java, Kotlin, Go, SciKit Learn, Spark MLLib

Benefits

• No benefits