SCITLS Lead Data Scientist-Task Lead
| Company | General Dynamics |
|---|---|
| Location | Offutt AFB, NE, USA |
| Salary | $166280 – $224968 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- U.S. Citizenship and active TS/SCI security clearance
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
- 7+ years of hands-on experience in data science, AI/ML, or advanced analytics roles
- Proficiency in SQL, Python, R, and open-source machine learning frameworks
- Demonstrated success managing technical teams and large-scale analytics projects
- Familiarity with big data platforms and tools (e.g., Spark, Hadoop, H2O.ai)
- Strong communication skills and ability to brief senior leadership
- DoD 8140 qualified
- ITIL 4 Foundation ITSM certification or ability to obtain within 9 months of hire
Responsibilities
- Manage a multidisciplinary team and lead the development, experimentation, and deployment of advanced analytics capabilities
- Direct design, integration, and performance optimization of Command-wide database environments
- Lead AI/ML development lifecycles, ensuring responsible AI principles and secure, scalable deployment
- Oversee agile experimentation and prototyping for AI, ML, and data science innovation
- Manage Command-wide data science strategy, including predictive analytics and KPI modeling
- Guide R&D and feasibility studies in quantum algorithms and their applicability to Command objectives
- Establish and execute the Command’s strategic vision for AI and data science adoption
- Define technical architecture and ensure alignment with mission objectives and compliance frameworks
- Mentor and grow talent across the data science workforce
- Develop predictive models, NLP algorithms, and time-series analytics
- Drive research in emerging methods including reinforcement learning, unsupervised learning, and dimensionality reduction
- Interpret performance metrics and operational data to guide Command decisions
- Partner with engineers and developers to integrate solutions into secure DoD infrastructure
- Deliver insights to mission leaders using advanced visualization tools (e.g., PowerBI, Tableau, D3)
- Ensure version control, reproducibility, and documentation using Git-based workflows
Preferred Qualifications
- Master’s or PhD in a STEM discipline
- Experience with quantum computing concepts or pilot projects
- Exposure to DoD environments, mission-driven data, or classified workflows
- Experience with Database schema design and ERD tools such as Erwin Data Modeler, SparxEA, and Oracle SQL Developer
- Experience with data pipelines, MLOps, and containerized deployments (e.g., Docker, Kubernetes)
- Working knowledge of tools like GitHub, Rancher, or enterprise analytics stacks