The Leidos Innovation Center (LInC) Information and Data Sciences Division has an opening for a Data Scientist with experience developing ML technologies that yield novel, innovative capabilities while advancing the state of the art – particular experience and application of graph modeling and development is a requirement for this role. 

The candidate will support contract R&D and internal R&D programs, working with teams of researchers and engineers in the development, adaptation, and extension of innovative ML-based approaches and solutions across a range of technical areas and application domains. The candidate will process diverse and disparate types of data of high complexity, and for projects that are both fundamental and applied in nature. The innovative technical solutions will advance the state of the art in machine learning and/or artificial intelligence while addressing long-term problems of importance to national security.  As such, preferred candidates will have experience executing advanced research and development efforts and working with high-performing teams on software-based solutions for customers such as DARPA, DTRA, and other branches of the Department of Defense. 

Primary Responsibilities

Contribute to complex data-driven development projects involving diverse data types using modern ML architecturesResearch and solution state of the art graph-based models and apply these efforts to various types of dataImplement sophisticated feature extraction techniques from complex, high-dimensional datasetsDevelop and utilize MLOps pipelines to develop/train/test/validate/deploy ML modelsWork with teams of other data scientists, research scientists, and engineers using an Agile development approachServe as a senior technical contributor and contribute to the support and mentorship of more junior employeesFormulate, prototype, implement, and test existing state-of-the-art as well as novel ML algorithms to solve customer problemsContribute to the generation of competitively sourced proposals for contract R&D projectsCommunicate with stakeholders and engage with potential customers to discuss technical solutioningProduce and communicate reports and presentations that summarize technical results to technical and non-technical audiencesStay up to date with current state-of-the-art data science/ML methods and work with team to employ these methods within current and future R&D projects. 

Basic Qualifications

BS degree in computer science, data science, engineering, or a physical science with 6+ years of prior relevant experience or Masters in technical domain above with 4+ years of relevant experience. May possess a Doctorate in technical domain.Qualified candidates must be a U.S. Citizen and able to obtain a Top Secret security clearance (no clearance needed to start)Proficiency in Python, PyTorch, Tensorflow, Pandas, and Scikit-learn4 or more years of experience with GraphML, GNNs, CNNs, knowledge graphs, graph-based clustering/community detection, etc.Experience solving a variety of machine learning problems (e.g., supervised and unsupervised learning techniques, statistical estimation, etc.)Proficient in data exploration techniques and toolsAbility to work in a fast-paced, collaborative team environment utilizing Agile methodologiesSelf-starter with high intellectual curiosityGood communication skills with ability to explain results to a non-technical audience

Preferred Qualifications

Candidates with Ph.D. in computer science, data science, engineering, or a similar analytical field are preferred.Demonstrated track record of extending ML and AI tools and algorithms to new domainsExperience applying and leading the application of ML/AI-based approaches and techniques in fundamental research contexts, to problems in complex domains, under conditions of uncertainty, and dynamic and evolving technical challenges  Strong theoretical and practical understanding beyond a basic level of GraphML, graph neural networks, convolutional neural nets, anomaly detection, etc.Experience adapting ML algorithms and tools with operational workflows for customers in the US government

LInC

At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.

Original Posting:September 4, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $104,650.00 - $189,175.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.