General Dynamics Information Technology · 12 hours ago
Senior Data Scientist
United States
Full-time
Remote
Mid, Senior Level
$111K/yr - $151K/yr
5+ years expGeneral Dynamics Information Technology is a global technology and professional services company that delivers consulting, technology, and mission services to the U.S. government. The Senior Data Scientist provides advanced analytical, machine learning, and data engineering support to deliver production-ready solutions that drive data-informed decision-making and operational efficiency.
Artificial Intelligence (AI)Cloud ComputingCyber SecurityConsultingInformation Technology
No H1B
U.S. Citizen Only
Responsibilities
Design, develop, and deploy machine learning models for classification, regression, time series forecasting, and natural language processing applications to solve complex business problems
Build and optimize automated, scalable ETL/ELT pipelines using Python, SQL, and cloud-based tools to integrate, transform, and validate structured and unstructured data from diverse sources
Develop and maintain production ML systems including model deployment, monitoring, versioning, and performance tracking in collaboration with AI/ML infrastructure teams
Design, develop, and deploy interactive dashboards and data visualizations using Tableau, Power BI, or similar platforms to deliver actionable insights to technical and executive stakeholders
Perform end-to-end model development including exploratory data analysis, feature engineering, hyperparameter tuning, model validation, and documentation
Develop and maintain data pipelines and workflows using tools such as AWS services, Databricks, and GitLab CI/CD to support analytics and ML operations
Conduct data mining, cleaning, and manipulation using SQL, Python (Pandas, NumPy), or R to deliver statistical analyses, visualizations, and predictive insights
Implement data quality and validation frameworks, leveraging APIs and automated testing to ensure accuracy and completeness across systems
Translate complex business requirements into technical solutions, data models, and analytical frameworks that align with long-term technology strategy
Provide technical mentorship to team members on advanced analytics techniques, Python scripting, ML best practices, and workflow automation
Create comprehensive documentation including data dictionaries, metadata, technical specifications, and presentations for diverse audiences
Respond to urgent and ad-hoc data requests, compile reports for leadership, and coordinate collaborative research and analysis projects
Partner with cross-functional teams including data engineers, software developers, and federal stakeholders to ensure production readiness and scalability of data solutions
Qualification
Required
5 + years of related experience
Requires BS/BA degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
At least 5 years of experience in data science, machine learning, or advanced analytics; 3 years of experience with a Master's degree
Demonstrated experience developing and deploying machine learning models using Python libraries (Scikit-learn, XGBoost, TensorFlow, PyTorch, or HuggingFace)
Strong proficiency in Python and SQL for data manipulation, analysis, and pipeline development
Experience with ETL/ELT pipeline development and data engineering best practices
Demonstrated knowledge of data visualization platforms (Tableau, Power BI) and ability to translate technical insights into executive-level dashboards
Experience with cloud platforms (AWS, Databricks) and modern data infrastructure
Knowledge of statistical analysis and modeling techniques
Understanding of relational and non-relational databases (Oracle SQL, PostgreSQL, etc.)
Strong version control and collaboration skills using Git (GitHub, GitLab, BitBucket)
Exceptional analytical skills with strong attention to detail
Strong written and verbal communication skills with ability to present complex findings to non-technical stakeholders
Must be able to work both independently and as part of a collaborative team in a fast-paced, agile environment
Preferred
Experience with MLOps practices including model monitoring, versioning, and production deployment
Experience with CI/CD pipelines (GitLab CI/CD) for data workflows and ML operations
Knowledge of time series forecasting, natural language processing, or geospatial analysis, generative AI, or agentic AI
Experience with data orchestration and workflow automation tools
Familiarity with feature engineering, dimensionality reduction (PCA), cluster analysis, and anomaly detection techniques
Experience working with federal government data systems and compliance requirements
Background in Agile/Scrum methodologies and project management tools (Jira)
Experience mentoring junior data professionals and establishing analytics best practices
Benefits
A variety of medical plan options, some with Health Savings Accounts
Dental plan options
A vision plan
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
Full flex work weeks where possible
A variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave
15 days of paid leave per calendar year to be used for vacations, personal business, and illness
10 paid holidays per year
The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees
Short and long-term disability benefits
Life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance
Company
General Dynamics Information Technology
General Dynamics Information Technology is an IT consulting company that specializes in cyber security, AI, and quantum computing. It is a sub-organization of General Dynamics.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Paul Nedzbala
Senior Vice President
Ben Buckley
Vice President and General Manager
Recent News
2026-02-05
2026-01-03
Company data provided by crunchbase