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Data Scientist

Arena Technical Resources, LLC • Dayton, OH • 1d ago

Data Scientist

Location: Dayton, OH, US

Job ID: ATR 17613

Job Description

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 toanalytic tools,data fusion

techniques, andalgorithm developmentthat 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 oforbital object

tracking,threat characterization, orsensor-driven space intelligence

and will be comfortable operating in a cleared, R&D-focused environment.

Key Responsibilities:

Applydata science methods(ML, statistical modeling, time-series

analysis) to space-based and ground-based observation data

Support proto@type development and exploratory analysis for SDA

workflows and sensor analytics

Integrate, clean, and fuse diverse datasets such assatellite

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:

ActiveTS/SCI clearancewith ability to obtain CI Polygraph

Background withSDA concepts, orbital mechanics, or satellite

tracking

Knowledge of space threat characterization or SDA mission

architecture

Proficiency inPythonand common data science libraries (e.g.,

NumPy, pandas, scikit-learn, matplotlib)

Experience withJupyter, 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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