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ATR, LLC is seeking an experienced Data Scientist to join a focused R&D program developing AI/ML solutions for ISR applications. You will support data architecture implementation and maintenance across program data, leveraging computer vision models for geospatial data, object detection, and tracking.
The role requires strong data engineering skills, experience with cloud environments, and the ability to work across cross-functional teams.
Location: Springfield, VA or St. Louis, MO Compensation: $170,000 - $190,000 Eligibility/Clearance: Candidate must possess an active TS/SCI clearance and be willing to obtain a CI Polygraph
We are looking for an experienced Data Scientist to join our team. You will get to join a highly functioning team to develop cutting edge solutions for complex problems. Your job will be to support the implementation and maintenance of the data architecture for all Program Data associated with an R&D program. The R&D program is focused on using Artificial Intelligence/Machine Learning (AI/ML) algorithms and models, particularly Computer Vision, applied to Intelligence, Surveillance, and Reconnaissance (ISR) sensors and platforms for object detection, object tracking, object classification, and pattern detection. The program involves developing, testing, fielding, and integrating Computer Vision models for geospatial data.
Occasional travel may be required outside of the DC area to support events or exercises. Local travel may be required to attend meetings at government facilities. Surge support may be needed at times to support crisis situations. Work is located at CTR facility. Work schedule is flexible, but a good amount of team collaboration is required which generally occurs M-F from 0900-1500 EST and team members should do their best to be reachable during those core hours.
Bachelors Degree in Computer Science or a related field
ATR is an Equal Opportunity Employer (EOE) who will provide equal employment opportunity to employees and applicants for employment without regard to race, ethnicity, religion, color, sex, pregnancy, national origin, age, veteran status, ancestry, sexual orientation, gender identity or expression, marital status, family structure, genetic information, or mental or physical disability