Note: The job is a remote job and is open to candidates in USA. ActioNet, Inc. is a woman-owned IT Solutions Provider with a strong commitment to quality and community. They are seeking a Data Scientist / Optimization Engineer to design and implement optimization algorithms that improve field workforce routing efficiency while integrating with existing enterprise systems.
Responsibilities
- Design and implement vehicle routing and scheduling algorithms using OR-Tools to generate optimal field assignments
- Develop clustering algorithms to group workloads geographically and minimize travel time/cost
- Implement constraint models (capacity, time windows, skills, priorities, survey rules) within the optimizer
- Integrate the optimizer with the Mojo control system APIs for job intake, execution, and results publishing
- Build batch and real-time optimization modes to support both scheduled and on-demand routing
- Refactor optimizer components into modular, extensible strategy interfaces for new routing heuristics
- Implement data preprocessing pipelines to normalize locations, distances, and travel matrices
- Develop automated test harnesses validating solution correctness against known datasets and constraints
- Implement 'solution quality' scoring metrics (distance, balance, SLA adherence, cost) to evaluate goodness of routes
- Create regression benchmarks comparing new algorithm performance vs. baseline outputs
- Add parallel processing and scaling support to handle large route sets and high agent counts
- Instrument services with logging and metrics to track runtime, solver performance, and solution quality
- Package optimizer services for CI/CD deployment with reproducible builds and environment configs
- Document routing logic, constraints, integration points, and operational runbooks
- Provide production support, tuning, and continuous improvement of optimization heuristics and performance
Skills
- Requires a Public Trust - must be US Citizen to be eligible
- Bachelor's Degree
- 8 years of experience
Company Overview