We are seeking a Data Scientist to support our growing business focused on the US Army by developing tools to manipulate and visualize data collected from ground, air, and space-based spectral and radiometric sensors. In this role, you will collaborate with a diverse team including Government Engineers, Spectral Scientists, Analysts, Data Scientists, Developers, and other subject matter experts to identify and fulfill customer needs based on existing and new tools.
Responsibilities:
- Collaborate with Image and Data Scientists to develop data manipulation and visualization tools.
- Work with Program Manager, Customer, and Project Technical Leads to design and implement project architecture and deployment plans.
- Modernize existing code to align with contemporary DevOps environments.
- Exercise good software development practices, including testing, version control, and documentation.
Qualifications:
- Bachelor's degree (or higher) in mathematics, physical science, computer science, or engineering.
- Expertise in Python.
- Experience in managing and developing DevOps solutions for version control and deployment for distributed teams.
- Proficiency in using PyQt for developing desktop interfaces for complex applications.
- Excellent communication skills, with the ability to work independently or collaboratively and interact directly with customers.
- U.S. Citizen able to obtain a security clearance.
Desired:
- Experience working with remote sensing and geospatial data.
- Active TS/SCI security clearance.
Job Type: Full-time
Pay: From $115,000 - $140,000 per year
Benefits:
- 401(k) and 401(k) matching
- Dental, health, life, and vision insurance
- Employee assistance program
- Paid time off and professional development assistance
- Referral and relocation assistance
- Tuition reimbursement
Schedule: 8 hour shift
Ability to Commute/Relocate: Charlottesville, VA 22911: Reliably commute or plan to relocate before starting work (required)
Experience:
- Matlab: 1 year (preferred)
- Python: 1 year (preferred)
Work Location: One location
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