Lead Applied Imagery Scientist and Data Scientist

Quick Facts

• Position: Lead Applied Imagery Scientist and Data Scientist
• Location: Onsite; Dulles, VA facility and/or customer facility in Springfield, VA
• Clearance: Active and transferable TS/SCI with Polygraph required prior to start date; active and existing on day 1

Description

Lead the design, development, and delivery of new features for Python and Java machine learning and AI applications. Train, evaluate, and refine machine learning models using geospatial and imagery data, and develop algorithms for machine learning, computer vision, and imagery science workflows. Maintain, optimize, and extend existing codebases to improve performance, scalability, and reliability, while communicating progress, technical insights, and risks to leadership in an Agile environment.

Responsibilities

• Partner with a multi-disciplinary team to design, develop, and deliver new features for Python and Java machine learning and AI applications
• Train, evaluate, and refine machine learning models using geospatial and imagery data
• Develop and integrate new algorithms for machine learning, computer vision, and imagery science workflows
• Maintain, optimize, and extend existing codebases to improve performance, scalability, and reliability
• Communicate progress, technical insights, and risks to leadership within an Agile environment

Requirements

• Degree in STEM
• Minimum 8 years of prior relevant experience (unless prohibited by local laws/regulations)
• Experience in software development using Python, Java, IDL, R, or other open source high level language used in data science
• Experience developing, training, and evaluating machine learning models, including deep neural networks; optimizing model performance and conducting validation across large datasets
• Experience developing algorithms for large datasets in geospatial, sensing, and imagery data; in computer-vision applications
• Active and transferable U.S. government issued TS/SCI security clearance required prior to start date
• U.S. citizenship required

Benefits

• Medical, dental, vision
• Life insurance
• Short-term disability, long-term disability
• 401(k) match
• Flexible spending accounts
• Flexible work schedules
• Employee assistance program
• Employee Scholar Program
• Parental leave
• Paid time off and holidays
• Annual short-term and/or long-term incentive compensation programs (depending on level and coverage; not guaranteed)