Barone Consulting
We are seeking a
mission-focused Data Scientist
to support research and development initiativesrelated to Space Domain Awareness (SDA). Based in Dayton, this role will contribute to analytic tools, data fusion techniques, and algorithm development that enhance the nation's ability to monitor and interpret activity in the space environment. The ideal candidate will bring experience working with large, multi-source datasets, particularly in support of orbital object tracking, threat characterization, or sensor-driven space intelligence and will be comfortable operating in a cleared, R&D-focused environment. Key Responsibilities:
Apply data science methods (ML, statistical modeling, time-series analysis) to space-based and ground-based observation data Support prototype development and exploratory analysis for SDA workflows and sensor analytics Integrate, clean, and fuse diverse datasets such as satellite telemetry, radar, EO/IR, and SIGINT Collaborate with R&D teams, analysts, and mission engineers to shape SDA solutions Contribute to performance evaluation of algorithms and models under real-world conditions Communicate findings clearly through technical reports, dashboards, and briefings Required Qualifications:
Active TS/SCI clearance with ability to obtain CI Polygraph Background with SDA concepts, orbital mechanics, or satellite tracking Knowledge of space threat characterization or SDA mission architecture Proficiency in Python and common data science libraries (e.g., NumPy, pandas, scikit-learn, matplotlib) Experience with Jupyter, version control (Git), and secure development workflows Strong communication skills and ability to interface with technical and operational personnel Mid Level Candidates : B.A./B.S. Degree and 4+ years of experience applying data science techniques to mission-relevant datasets Senior Level Candidates:
B.A./B.S. Degree and 10+ years of experience paplying data science techniques to mission-relevant datasets Preferred Qualifications:
Experience supporting NGA, NASIC, or other IC/DoD space mission partners Familiarity with Kalman filters, sensor modeling, or object state estimation Knowledge of space threat characterization or SDA mission architecture Foundation GEOINT knowledge (A GEOINT foundational layer includes essential datasets like precise imagery, topography, gravity and magnetic models, geodetic surveys, navigational features, and human?geography layers that enable integration and analysis across disciplines and mission contexts) Experience with containerization (Docker), cloud environments, or HPC workflows
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mission-focused Data Scientist
to support research and development initiativesrelated to Space Domain Awareness (SDA). Based in Dayton, this role will contribute to analytic tools, data fusion techniques, and algorithm development that enhance the nation's ability to monitor and interpret activity in the space environment. The ideal candidate will bring experience working with large, multi-source datasets, particularly in support of orbital object tracking, threat characterization, or sensor-driven space intelligence and will be comfortable operating in a cleared, R&D-focused environment. Key Responsibilities:
Apply data science methods (ML, statistical modeling, time-series analysis) to space-based and ground-based observation data Support prototype development and exploratory analysis for SDA workflows and sensor analytics Integrate, clean, and fuse diverse datasets such as satellite telemetry, radar, EO/IR, and SIGINT Collaborate with R&D teams, analysts, and mission engineers to shape SDA solutions Contribute to performance evaluation of algorithms and models under real-world conditions Communicate findings clearly through technical reports, dashboards, and briefings Required Qualifications:
Active TS/SCI clearance with ability to obtain CI Polygraph Background with SDA concepts, orbital mechanics, or satellite tracking Knowledge of space threat characterization or SDA mission architecture Proficiency in Python and common data science libraries (e.g., NumPy, pandas, scikit-learn, matplotlib) Experience with Jupyter, version control (Git), and secure development workflows Strong communication skills and ability to interface with technical and operational personnel Mid Level Candidates : B.A./B.S. Degree and 4+ years of experience applying data science techniques to mission-relevant datasets Senior Level Candidates:
B.A./B.S. Degree and 10+ years of experience paplying data science techniques to mission-relevant datasets Preferred Qualifications:
Experience supporting NGA, NASIC, or other IC/DoD space mission partners Familiarity with Kalman filters, sensor modeling, or object state estimation Knowledge of space threat characterization or SDA mission architecture Foundation GEOINT knowledge (A GEOINT foundational layer includes essential datasets like precise imagery, topography, gravity and magnetic models, geodetic surveys, navigational features, and human?geography layers that enable integration and analysis across disciplines and mission contexts) Experience with containerization (Docker), cloud environments, or HPC workflows
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