Systems Planning and Analysis, Inc. (SPA) is looking to develop a comprehensive analytics platform to support the reporting and insights necessary for day-to-day management of Department of Defense (DoD) program offices as part of their Digital Program Management (DPM) initiative.
Requirements
- 5+ years of experience in developing software applications.
- 5+ years of experience with systems programming languages such as C-Sharp/Java/C++/Rust.
- Experience with scripting programming languages such as TypeScript, JavaScript, or Python.
- Experience working with Git for Source Control Management.
- 3+ years of experience developing with Machine Learning.
- Experience working in a DevSecOps environment.
Responsibilities
- Designing a Machine-Learning oriented strategy to fulfill DPM’s objectives.
- Managing a ML Strategy by collaborating with DPM Functional Area Leads, managing schedule, communicating with key stakeholders, documenting tasking, delegating tasking, mentoring junior developers on tasking, and performing code reviews.
- Executing a ML Strategy by developing the necessary software modules, components, reports, and cross-functional analysis algorithms.
- Validating a ML Strategy by developing test plans and metrics demonstrating the efficacy of specific ML models as applied to DPM.
Other
- Bachelor’s degree in Computer Science, Software Engineering, or Data Science.
- Ability to obtain and maintain a DoD Top Secret clearance.
- Able to work onsite at SPA Headquarters or a client office in Alexandria, VA.
- Experience mentoring junior developers.
- Experience presenting to large groups.
