Imaging Data Scientist

About the position

Frontier Technology Inc. (FTI) is seeking an experienced Data Scientist with a background in imaging science to support existing contracts in our Beverly, MA office. FTI's Data, Cyber and Integrated Services (DCIS) group provides software development, data science, cyber security, and systems engineering support to FTI through a matrixed organization. The Image Science team based in Beverly, MA provides science and software development services to space-based electro-optical infrared (EOIR) sensor programs. Machine learning, AI-augmented decision support, and space wargaming are all directions of company growth, and experience or interest in these areas are desired. We have extensive experience in systems engineering, sensor requirements definition, sensor design, sensor calibration, data analysis, radiometric performance validation, physics-based and phenomenological simulation tools, and data management. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

Responsibilities

• Develop algorithms associated with image processing, sensor calibration, data simulation and modeling, and software automation.
• Perform analysis of sensor data, simulated systems and algorithms.
• Work with other scientists on the team collaboratively to complete algorithm development or analysis tasks.
• Interface with software developers on the team to define software requirements and guide software implementation.
• Interface with customers to brief work and define tasking.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.

Requirements

• Must be a U.S. Citizen and currently have a TS clearance that will require an SCI upgrade. Current TS/SCI is preferred.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, Astronomy, Physics, or a related technical field. Prefer PhD.
• Practical knowledge of telescopes, optical systems, and focal plane arrays, including observation planning or mission design.
• Strong technical background in astronomy or remote sensing.
• Experience with standard data analysis and reduction procedures.
• Strong foundation in mathematics. Experience with the application of statistical concepts and techniques to data preferred.
• Scientific programming competency in Python or Matlab.
• Excellent communication skills, with emphasis on the ability to communicate technical results to non-technical audiences (such as customers).
• Experience in statistical inference, machine learning for target detection and discrimination, or in AI-augmented decision support.

Nice-to-haves

• Optical signatures modeling.
• Multi-scale modeling, first principles and phenomenological simulation of physical systems.
• Technical work on a sensor program.