Network Analyst Product Engineer II - Vehicle Routing Problem (VRP)

<p><strong>Overview</strong></p> <p>The fleet routing software provided by Esri empowers the largest companies in the world to solve their challenging vehicle routing problems. We actively develop new capabilities, and have openings for energetic, organized, and proactive individuals to test the quality and performance of these solvers, and to contribute to their future design and documentation.</p> <p>Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Gain a thorough understanding of the fleet routing solvers</li> <li>Extend and maintain an extensive suite of test cases that exercise various features of the fleet routing solvers</li> <li>Create adversarial test cases to expose potential flaws in solution quality</li> <li>Build, run, and monitor the performance, durability and scalability of the fleet routing solvers</li> <li>Create compelling and clear data visualizations of testing results</li> <li>Collaborate with development programmers to design and build innovative new functionality</li> <li>Engage with customers to understand their real-world business problems, and to model those problems using Esri fleet routing functionality</li> <li>Research and analyze customer requests and industry standards to establish and define new solver requirements</li> <li>Troubleshoot and diagnose customer problems involving solution quality or performance</li> <li>Test and document recommended workflows for ArcGIS users and developers</li> <li>Create innovative solutions combining various Network Analyst and other GIS techniques, within the broader context of strategic planning and territory design</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>2+ years of experience in one of the following: <ul> <li>Developing test data and test cases as well as designing and running stress and load tests</li> <li>Statistical analysis on large datasets to summarize data, discover trends and patterns, and provide insight</li> <li>Jupyter Notebooks and Python's visualization and data science libraries (such as Matplotlib and Pandas)</li> </ul> </li> <li>Experience developing applications in Python and the use of REST APIs</li> <li>Excellent verbal and written communication skills</li> <li>Proven ability to analyze and solve problems in rigorous and innovative ways</li> <li>Bachelor’s degree in operations research, computer science, mathematics, data science, or related field</li> </ul> <p><strong>Recommended Qualifications</strong></p> <ul> <li>Mas