Data Scientist SME

Iron EagleX-posted 7 days ago
Full-time • Mid Level
Onsite • Crystal City, VA
51-100 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

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.

  • 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.
  • 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. Candidates without this clearance will not be considered.
  • Orchestration & Data Quality: Airflow
  • Distributed & Streaming: Spark, Kafka
  • Development and CI/CD: Kubernetes, pytest
  • Observability & Reliability: Data & model drift monitoring
  • Bachelor's degree in Computer Science, Statistics, Engineering, or a related field (or equivalent experience). Advanced degrees are a plus.
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Data Scientist Resume Examples
•
Data Scientist Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service