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Data Scientist SME

Job in Virginia, St. Louis County, Minnesota, 55792, USA
Listing for: Iron EagleX, Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Scientist, Data Security
Job Description & How to Apply Below

Data Scientist SME

Job Location s: US-VA-Crystal City

Overview

Iron Eagle

X (IEX), a wholly owned subsidiary of General Dynamics Information Technology, delivers agile IT and Intelligence solutions. Combining small‑team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user‑focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments.

Responsibilities

Job Description:

Iron Eagle

X is seeking a Data Scientist SME to join our dynamic team in Crystal City, VA. This role creates and delivers innovative analytics through production software as a member of a fast‑paced, multi‑discipline team. This position is onsite and requires travel for 60‑90 days to CONUS sites each year.

  • Build and ship Python‑based analytic services (APIs, batch, streaming) with CI/CD, testing, and containerization.
  • Build and update web‑based GUIs (Streamlit, etc.) for the lightweight visualization of complex analytics.
  • Design and harden automated methods for linking disparate sources across very large datasets.
  • Own the lifecycle: ingest/ETL, modelling, deployment, and monitoring (performance, drift, data quality).
  • Work with analysts, developers, and other data scientists to turn workflows into robust, automated pipelines.
  • Apply supervised/unsupervised learning, graph methods, and statistical modelling.
  • Enforce engineering rigor: unit and integration testing, typing, code review, and documentation.
  • Identify data gaps/anomalies and improve TTPs and methodologies in classified environments.
Qualifications

Required

Skills & Experience:

  • Production Python expertise (packages, APIs/services, packaging, dependency management).
  • SQL proficiency; experience with large‑scale systems (Trino, Postgre

    SQL, Hive; Open Search, Elastic Search; distributed compute a plus).
  • Proven model productionisation (FastAPI, batch jobs, or streaming), CI/CD, Docker, and Linux. Strong with Num Py, Sci Py, pandas, scikit‑learn, Matplotlib; comfortable moving from exploration to maintainable code.
  • Practical experience in entity resolution, graph/relational reasoning, and applied statistics.
  • Experience integrating structured, unstructured text, and semi‑structured data.
  • Due to US Government Contract Requirements, only US Citizens are eligible for this role.

Desired

Skills:

  • Orchestration & Data Quality:
    Airflow
  • Distributed & Streaming:
    Spark, Kafka
  • Development and CI/CD:
    Kubernetes, pytest
  • Observability & Reliability:
    Data & model drift monitoring

Education &

Certifications:

Bachelor's degree in Computer Science, Statistics, Engineering, or a related field (or equivalent experience). Advanced degrees are a plus.

Security Clearance:
An active TS/SCI security clearance is REQUIRED and candidates must have or be willing to obtain a CI Poly. Candidates without this clearance will not be considered.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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