We are looking for a Data Scientist with an entrepreneur's mindset to support a fast-paced and growing data science team working on projects critical to National Security.
Responsibilities Include:- Build statistical and machine learning models, conducting natural language processing (NLP), and developing automated solutions for complex business challenges.
- Construct and execute complex database search queries across multiple databases using SQL and API interfaces.
- Perform web scraping and apply various techniques for processing unstructured data.
- leverage automation and machine learning to manage data, predict scenarios, and make data-driven recommendations.
- Learn and leverage technologies including AWS and Git.
Basic Qualifications:- Must have TS/SCI with Polygraph.
- BS degree and 8 - 12 years of prior relevant technical experience or Masters with 6 - 10 years of prior technical relevant experience. May possess a Doctorate in technical domain. Experience may be exchanged for degree.
- Experience with Python is required.
- Strong SQL skills and experience with relational databases and APIs for data extraction is required.
- Experience with supervised and unsupervised learning and natural language processing (NLP) is required. Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or TensorFlow
- Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of computer science concepts, data architecture, and statistical methods.
- Proficiency with data visualization tools (e.g., Tableau, Plotly, Seaborn, Matplotlib) is required.
Original Posting:July 1, 2026
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 $107,900.00 - $195,050.00
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.
