Data Scientist

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 the Northern Virginia area. 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!   

Job Summary:

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 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.

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today!

Original Posting Date:

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:

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.