Data Scientist SME at General Dynamics Information Technology

Arlington, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Mar, 26

Salary

276000.0

Posted On

29 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Fast API, Production Python Expertise, SQL, CI/CD, Docker, Linux, NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, Entity Resolution, Graph Reasoning, Applied Statistics, Data Integration

Industry

IT Services and IT Consulting

Description

Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret/SCI Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Fast API, Production Python Expertise, SQL Certifications: None Experience: 5 + years of related experience US Citizenship Required: Yes Job Description: 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. Job Duties Include (but not limited to): 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. Required Skills & Experience: 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. 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 The likely salary range for this position is $204,000 - $276,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Hybrid Work Location: USA VA Arlington Additional Work Locations: Total Rewards at GDIT: 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. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Join our 30,000 everyday heroes. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. For more information about GDIT's Privacy Policy, click here: https://www.gdit.com/privacy-policy/notices/

Responsibilities

The Data Scientist SME will create and deliver innovative analytics through production software as part of a multi-discipline team. Responsibilities include building Python-based analytic services, designing automated methods for linking datasets, and applying various machine learning techniques.