Data Scientist in Burke
Listed on 2026-08-28
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist
Description
Leidos has a new and exciting opportunity for a Data Scientist in our Intel Sector Analysis Solutions Business Area (ASBA) in McLean, VA. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more.
Join us and make a difference in Analysis Solutions Business Area!
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 Security.
Responsibilities Include- Build statistical and machine learning models, conducting natural 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.
- Must have TS/SCI with Polygraph.
- BS degree and 8 – 12 years relevant technical experience or Master’s with 6 – 10 years of relevant experience. May possess a Doctorate in technical domain.
- Experience with Python is required.
- Social network analysis (SNA) experience
- Strong SQL skills and experience with relational databases and APIs for data extraction is required.
- Experience with supervised and unsupervised learning and natural processing (NLP) is required. Familiarity with NLP libraries and tools (e.g., spaCy, Hugging Face, NLTK, or Tensor Flow).
- 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.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:July 31, 2026
Pay Range:Pay Range $ - $
The Leidos pay range for this job level is a general guideline onlyand 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.
About LeidosLeidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit
Pay and BenefitsPay 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
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