DoorDash is looking to develop an industry-leading experimentation platform to enable data-driven decision making across the company.
Requirements
10+ years of industry experience of developing statistical or ML models with business impacts
M.S., or PhD. in Statistics, Causal Inference, Experimentation, Computer Science, Applied Mathematics or other related quantitative fields
Demonstrated expertise with programming languages, e.g. Python, Java, Kotlin, Go, SciKit Learn, Spark MLLib, etc.
Experience building reliable, scalable, highly available distributed systems
Deep expertise in mathematics, statistics, causal inference or econometrics
Fullstack industry experience (web + backend)
Experience with any of the “Big Data” technologies (e.g. Postgres, Redis, Elasticsearch, Snowflake, Mode, Segment, Spark etc.)
Responsibilities
Build Experimentation platform that can evolve to handle new statistical methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques
Drive the statistical and ML development of internal platforms, including both the theoretical and engineering aspects, products including A/B testing platform, Causal Inference platform and Adaptive Learning platform (RL/MAB)
Expand the statistical and causal inference algorithms to support large-scale experimentation volume and computation load and high noise-to-signal business environment
Apply semi-supervised learning, LLM, active learning, documentation embedding/retrieval and data augmentation strategies to advance the hypothesis generation of the experimentation platform
Advise data scientists, operators, and engineers across the company on experimental design and adoption of experimentation tools
Other
You are located or are planning to relocate to San Francisco CA, Sunnyvale, CA, or Seattle, WA
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
M.S., or PhD. in Statistics, Causal Inference, Experimentation, Computer Science, Applied Mathematics or other related quantitative fields
401(k) plan with employer matching, paid time off and paid sick leave in compliance with applicable laws
16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match
Medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others
