Principal Data Scientist/ML Engineer

About Agero:

Wherever drivers go, we’re leading the way. Agero’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected. This includes: an industry-leading dispatch management platform powered by Swoop; comprehensive accident management services; knowledgeable consumer affairs and connected vehicle capabilities; and a growing marketplace of services, discounts and support enabled by a robust partner ecosystem. The company has over 150 million vehicle coverage points in partnership with leading automobile manufacturers, insurance carriers and many others. Managing one of the largest national networks of service providers, Agero responds to approximately 12 million service events annually. Agero, a member company of The Cross Country Group, is headquartered in Medford, Mass., with operations throughout North America. To learn more, visit https://www.agero.com/.

Note: For technical and other select roles, your first day will be spent at our HQ in Medford, MA to facilitate a smooth onboarding experience. Willingness to travel is required, as you may need to attend on-site team meetings from time to time.

Role Description and Mission:

Agero’s Motor Club handles millions of roadside events every year. We’re piloting a next-gen Dispatch System that fuses short and long-term horizon optimizers to decide who gets which job, when, and why. 

You will be instrumental in developing, evaluating and productionizing this system, building out the prediction models, incorporating them into the optimizer and leading the team to a successful outcome.

Key Outcomes:

• Architect & ship: Design end-to-end Python services (batch + streaming) that ingest model outputs, run constrained optimization, and surface real-time dispatch decisions.
  
  
• Model & simulate: Build/extend ML models (gradient-boosting, deep learning, OR-Tools) and run time-horizon simulations to quantify cost vs. service-level trade-offs.
  
  
• Operationalize: Automate training, validation, A/B rollout, and monitoring (SageMaker / Airflow).
  
  
• Lead & collaborate: Partner with Product, Ops, and Data Engineering; mentor a small squad of DS/ML engineers; present findings to execs.
  
  
• Continuously improve: Instrument NPS / cost telemetry, identify failure modes, and iterate.
  
  

Skills, Education, & Experience:

• 6 + yrs combined experience in Data Science and ML Engineering with ownership of production systems.
  
  
• Expert-level Python.
  
  
• Hands-on optimization (Mixed Integer Programming / Linear Optimization / Stochastic Optimization) and modern ML (XGBoost, PyTorch).
  
  
• Proven record designing cloud-native pipelines on AWS, GCP or Azure (AWS).
  
  
• Strong SQL, feature-store design, and data-quality mindset.
  
  
• Ability to translate business objectives into mathematically rigorous experiments.

Nice to Haves:

• Experience with dispatch, logistics, or  supply-demand marketplaces.
  
  
• Familiarity with Monte-Carlo tree search, multi-agent simulation, or hierarchical RL.
  
  
• Prior work balancing short-term incentives against long-term KPIs (e.g., LTV, NPS).
  
  

Sound like a fit? Reach out with a link to your GitHub or a brief project write-up.

Hiring In:

• United States:  AZ, CA, FL, GA, NH, IL, KY, MA, MI, NC, NM, NY, TN, VA

The anticipated closing date to submit applications for this role is February 20, 2026

The base salary range presented represents the anticipated low and high end salary range for new hires in this position. Your final base salary will be determined based on factors such as work location, experience, job related skills, and relevant training and education. The range listed is just one component of the total compensation package provided by Agero to employees.

Natio