Job Title: Data Scientist



Location: Dayton, OH



Eligibility: Candidate must possess a TS/SCI clearance and be willing to

obtain a CI Polygraph



Job Description:



We are seeking a mission-focused Data Scientist to support research and

development initiatives related 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