Leidos is looking to solve National Security problems by hiring a Data Scientist to support a fast-paced and growing data science team working on projects critical to National Security.
Requirements
- 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.
Other
- 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.
- 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
- 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
- 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
