Iron EagleX (IEX) is seeking a Data Scientist SME to create and deliver innovative analytics through production software as a member of a fast-paced, multi-discipline team.
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.
- Orchestration & Data Quality: Airflow
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.
Other
- This position is onsite and requires travel for 60-90 days to CONUS sites each year.
- 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.
- Bachelor's degree in Computer Science, Statistics, Engineering, or a related field (or equivalent experience).
- Candidates without this clearance will not be considered.
