Sr. Data Scientist
Role details
Job location
Tech stack
Job description
Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Clickhereto learn more about how this program "Delivers Mission Success!"
Seeking a motivated AI/ML prototype engineer to support the exciting Corporate Discovery Services mission. Developers will work closely with mission stakeholders to capture requirements and create innovative prototypes and deploy solutions to evaluate and tune machine learning models' ability to integrate, reference, make inferences and consolidate data into a holistic view., * Mission Focus: Collaborate closely with customers to enable acceleration to evaluate and tune machine learning models' ability to integrate, reference, make inferences and consolidate data into a holistic view.
- Technical Proficiency: Creatively write and evolve prototype techniques leveraging diverse architecture and methods. Provide database administration, dataflow engineering, data wrangling, and model development.
Requirements
- Qualifications: Bachelor's degree in computer science or related technical field plus a minimum of eight (8) plus years of relevant experience or equivalent. Proficiency with, but not limited to, Python (i.e. SciKit-learn, TensorFlow, PyTorch), R, GIT and experience with Jupyter Notebooks. Ability to provide database administration for relational databases and TensorFlow.
- Security Clearance Requirement: Candidates must possess an active TS/SCI with Polygraph to be considered for this role.
- Desirable Skills: Proficiency in augmenting, providing context, and/or fine-tuning large language models for generative tasks using approaches such as but not limited to, retrieval augmented generation (RAG) and model context protocol (MCP).
Benefits & conditions
$107,900.00 - $195,050.00 / yr paid time off, paid holidays, 401(k) United States, Maryland, Fort Meade Mar 11, 2026, Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.