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Principal Engineer, Data Science & Operations Research

San Diego, CA
  • Posted: over a month ago
  • Full-Time
Job Description

Join a rapidly growing company revolutionizing the transportation industry! Founded in 2013, Cargomatic powers local freight with the first and largest digital marketplace for local trucking. Our proprietary AI-enabled platform uses real-time location data to match cargo space and drivers to shippers with freight to move, creating capacity on demand. 

At Cargomatic, we are committed to finding new ways to solve complex, real-world problems for our customers. Our approach enables our employees - at all levels, in every role -  to thrive in an environment of intellectual curiosity, where people are passionate about what they do and support each other to get the job done. Visit to learn more.


Principal Engineer, Data Science & Operations Research

Cargomatic is in search of a Principal Engineer for Data Science & Operations Research passionately interested in building a highly-efficient and sustainable local trucking network. Our ideal Principal Engineer is constantly experimenting and implementing new mathematical models, heuristic algorithms, stochastic processes, computational methods and techniques to improve operational efficiency, streamline dispatching, optimize routes, improve asset utilization, lower costs and reduce the overall carbon footprint of our customer’s supply chain. We've got plenty of room for you to be creative, make an impact, solve impossible problems, and profoundly transform an industry


What You’ll Be Doing

  • Drive continuous improvement & optimization of Cargomatic’s local trucking network across all markets & geographies
  • Analyze and determine most optimal transportation solutions- including efficient load bundling, dispatching, route optimization, improving turns, improving asset utilization, reducing carbon footprint, etc.
  • Foster tight cross-functional partnership with product management, application engineering, data engineering, operations and finance
  • Build an expert network of internal & external stakeholders to drive generative innovation, build an impactful roadmap and deliver measurable results
  • Work in a fast-paced agile development environment
  • Recruit, coach and grow a strong team that is innovative, collaborative, curious, and focused on the customer and company mission

What We’re Looking For

  • 10+ years of relevant industry experience with a track record of driving impact and delivering results
  • MS, or PhD in Operations Research, Computer Science or Mathematics
  • Proficiency in OR concepts like linear (LP), nonlinear (NLP) and mixed-integer programing (MIP), network optimization and simulation
  • Proficiency in Data Science and ML/AI techniques for anomaly detection, queuing theory, clustering, predictive modeling, etc.
  • Experience with network optimization tools like CPLEX, Gurobi, Xpress, COIN-OR
  • Experience with data mining tools and scripting languages e.g R, Python, etc.
  • Knowledge of BI / data visualization tools (e.g. Tableau, PowerBI, Kibana)
  • Strong understanding of database storage concepts (data lake, relational databases, NoSQL, data warehousing)
  • Knowledge of RESTful APIs
  • Knowledge of Microservices
  • Exposure to Transportation, Logistics or Supply Chain Management

Benefits & Perks:

  • Competitive compensation
  • Medical, dental, and vision benefits
  • 401K company match program
  • Flexible paid time off (PTO) and paid holidays
  • Maternity/paternity leave


The expected salary range for this role is $170,000 to $220,000. The actual base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and other factors permitted by law. Decisions will be made on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

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San Diego, CA



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