SCITLS Lead Data Scientist- Task Lead Job at General Dynamics Information Technology, Offutt Air Force Base, NE

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  • General Dynamics Information Technology
  • Offutt Air Force Base, NE

Job Description

Job Description

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REQ#: RQ210260 Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of Defenses mission to keep our country safe and secure.

Job Description

Job Description

We are seeking a highly experienced and visionary Lead Data Scientist to serve as the Task Lead in support of the STRATCOM Command Information Technology Leadership Support (SCITLS) contract. This individual will provide strategic direction and technical leadership across advanced data science, AI/ML, quantum computing, and database initiatives aligned with USSTRATCOMs mission priorities.

As Task Lead, you will manage a multidisciplinary team and lead the development, experimentation, and deployment of advanced analytics capabilities within a secure and high-impact defense environment. You will also serve as the technical authority for integrating emerging technologies into the Commands enterprise.

HOW a Lead Data Scientist/AI Machine Learning Lead will make an IMPACT:

  • Enterprise Database Management: Direct design, integration, and performance optimization of Command-wide database environments.

  • Data and AI Services: Lead AI/ML development lifecycles, ensuring responsible AI principles and secure, scalable deployment.

  • Command Lab Environment (CLE): Oversee agile experimentation and prototyping for AI, ML, and data science innovation.

  • Enterprise Data Science (EDS): Manage Command-wide data science strategy, including predictive analytics and KPI modeling.

  • Quantum Computing: Guide R&D and feasibility studies in quantum algorithms and their applicability to Command objectives.

Leadership & Strategic Direction

  • Lead a team of data scientists, ML engineers, big data specialists, and software engineers.

  • Establish and execute the Commands 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.

Advanced Analytics & Modeling

  • 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.

Operational Integration & Collaboration

  • 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.

Required Qualifications

  • U.S. Citizenship and active TS/SCI security clearance .

  • Bachelors degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

  • 10+ 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

Desired Qualifications

  • Masters 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.

*Relocation may be available

GDIT IS YOUR PLACE:

  • Full-flex work week to own your priorities at work and at home

  • 401K with company match

  • Comprehensive health and wellness packages

  • Internal mobility team dedicated to helping you own your career

  • Professional growth opportunities including paid education and certifications

  • Cutting-edge technology you can learn from

  • Rest and recharge with paid vacation and holidays

#SCITLS

Work Requirements

Years of Experience

7 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

Travel Required

Less than 10%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $166,280 - $224,968. 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.
View information about benefits and our total rewards program.

About Our Work

We are GDIT. A global technology and professional services company that delivers 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 over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, 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

Job Tags

Contract work, Immediate start, Work from home, Worldwide, Relocation, Flexible hours,

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