Data Scientist III (Team- Valmo)

Own end-to-end development and deployment of scalable supply chain optimization solutions using advanced mathematical and machine learning techniques.

Analyze and process large datasets to derive actionable insights and drive supply chain network design and first/last mile optimization.

Collaborate with Product, Engineering, and Business teams to translate complex business problems into mathematical formulations and scalable code implementations.

4+ years of professional experience in a quantitative field with a Bachelor's degree in Statistics, Operations Research, Mathematics, or Computer Science.

Proficiency in Python for data science and machine learning and experience with optimization solvers like Gurobi specifically applied to supply chain and logistics problems.

Strong skills in processing large datasets efficiently, preferably with distributed frameworks such as PySpark.

Work Experience Required: 4+ years

Deep expertise in operations research techniques applied to logistics and supply chain network problems, including network design and time-window VRP.

Experience developing and deploying optimization and machine learning models at scale with emphasis on supply chain and logistics use cases.

Ability to independently execute from problem discovery through to delivering scalable solutions in a fast-paced, cross-functional environment.