Description
Leidos has a new and exciting opportunity for a Data Scientist in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA) located 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 National Security!
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Job Summary:
We are looking for a Data Scientist with an entrepreneur's mindset to support a fast- team working on operational 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.
- Addressing operational needs with functional, user-friendly scripts.
- Full life cycle development, from supporting requirements generation through maintenance including prototyping, build, test and delivery.
- Work with a team to define and deliver solutions that create efficiencies and optimize mission performance.
- Learn and leverage technologies including AWS and Git.
Basic Qualifications:
- Must have TS/SCI with Polygraph.
- BS degree and 12 - 15 years relevant technical experience or Master's with 10 - 13 years of relevant experience. May possess a Doctorate in technical domain.
- Proficiency with Python is required.
- Ability to effectively collaborate with and learn from others including end users and peer data scientists.
- 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).
- Extensive experience in data cleaning, wrangling, and deduplication of large datasets
- Experience with frequentist statistics, probability, and predictive modeling, along with knowledge of computer science concepts, data architecture, and statistical methods.
Preferred Qualifications:
Familiarity with Apache Spark/Pyspark.
Original Posting:
June 9, 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 $126,100.00 - $227,950.00
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.