Data Scientist SME
About The Position
Iron EagleX (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. Job Description: Iron EagleX 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.
Requirements
- Production Python expertise (packages, APIs/services, packaging, dependency management).
- SQL proficiency; experience with large-scale systems (Trino, PostgreSQL, Hive; OpenSearch, ElasticSearch; distributed compute a plus).
- Proven model productionization (FastAPI, batch jobs, or streaming), CI/CD, Docker, and Linux.
- Strong with NumPy, SciPy, 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.
- An active TS/SCI security clearance is REQUIRED and candidates must have or be willing to obtain a CI Poly.
Nice To Haves
- Orchestration & Data Quality: Airflow
- Distributed & Streaming: Spark, Kafka
- Development and CI/CD: Kubernetes, pytest
- Observability & Reliability: Data & model drift monitoring
Responsibilities
- 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, modeling, 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 modeling.
- Enforce engineering rigor: unit and integration testing, typing, code review, and documentation.
- Identify data gaps/anomalies and improve TTPs and methodologies in classified environments.
Benefits
- Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
- To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
- To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.
- We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
