Leidos is seeking a Data Scientist to support their fast-paced Operational Watch Floor within the National Security Sector's Cyber & Analytics Business Area. The role involves solving complex business challenges through advanced data analysis, machine learning, and automation.
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.
- Learn and leverage technologies including AWS and Git.
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 8 – 12 years relevant technical experience or Master’s with 6 – 10 years of relevant Technical experience. May possess a Doctorate in technical domain.
- We are looking for a Data Scientist with an entrepreneur’s mindset.
- This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”
- If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.
