Senior Applied Scientist, Operations Research

Our humble expectations

• Solid experience in Operations Research and production-level Applied Science projects, with the ability and interest to own solutions end-to-end: from prototyping to deployment, maintenance, and continuous improvement. - Deep understanding of Operations Research principles and a strong foundation in statistics. - Proven ability to work in highly complex domains, break down challenging problems into manageable parts, and develop innovative solutions. Comfortable explaining technical concepts to non-technical stakeholders. - Experience within logistics, optimization, or operational research domains is highly valued. - Knowledge of experimental design and analysis, including A/B testing. - Strong engineering skills with fluent coding ability in Python (our primary language for Applied Science projects) and experience working with **databases (**SQL). Experience with C++ or Go is a plus. - You value good software engineering practices, understand MLOps, and take pride in the quality of your code and the performance of your solutions. - Ideally, a degree in a field related to Operations Research or Applied Science. - Analytical, curious, business-oriented, and proactive mindset, with the ability to independently drive work forward while collaborating effectively with stakeholders across teams. ## Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.