Tech Stack

Description

Lead a team of Data Scientists, ML Engineers, and Software Engineers to architect and operate the next-generation Dispatch Optimization platform. You will drive scientific rigor and engineering excellence to transform model outputs into real-time, high-impact dispatch decisions that optimize cost efficiency and service levels.

Requirements

• Deep expertise in Data Science, Machine Learning, constrained Optimization (Operations Research), and scalable cloud-native service development
• Experience managing a team of Data Scientists, ML Engineers, and Software Engineers
• Proven ability to define and select optimal Data Science, Machine Learning, and Optimization strategy
• Experience with MLOps strategy and automation using tools like SageMaker, Airflow
• Ability to travel to Medford for initial onboarding (expenses covered)

Responsibilities

• Directly manage and foster a squad of Data Scientists, ML Engineers, and Optimization Specialists
• Attract, develop, and retain top talent in modeling, ML engineering, and cloud-native service development
• Own the successful implementation and delivery of projects defined on the ML roadmap
• Define and implement robust SDLC processes tailored for ML and optimization (Agile/Scrum)
• Guide the design and implementation of end-to-end cloud-native Python services for constrained optimization algorithms