Data Scientist

Leidos • McLean, VA

4h

About The Position

Leidos has a new and exciting opportunity for a Data Scientist in our Intel Sector Analysis Solutions Business Area (ASBA) . 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! 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.

Requirements

• Must have TS/SCI with Polygraph.
• BS degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level