SCITLS Lead Data Scientist- Task Lead at General Dynamics Information Technology
, , United States -
Full Time


Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

224968.0

Posted On

15 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Artificial Intelligence, Data Science, Machine Learning, Predictive Analytics, SQL, Python, R, Big Data, Agile, Quantum Computing, NLP, Data Visualization, MLOps, Containerization, Git, Database Management

Industry

IT Services and IT Consulting

Description
Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret 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: Artificial Intelligence (AI), Data Science, Machine Learning, Predictive Analytics Certifications: None Experience: 7 + years of related experience US Citizenship Required: Yes 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 USSTRATCOM’s 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 Command’s 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 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. 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. Bachelor’s 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 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. *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 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. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Onsite Work Location: USA NE Offutt AFB 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 Lead Data Scientist will provide strategic direction and technical leadership across advanced data science, AI/ML, and database initiatives. This role includes managing a multidisciplinary team and overseeing the development and deployment of advanced analytics capabilities within a defense environment.
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