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# Data Scientist

- **Company:** Leidos, Inc.
- **Location:** Silver Spring, MD, United States
- **Experience:** Expert
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Databases, Data Architecture, Web Scraping, Data Mining, Data Visualization, Relational Databases, Database Queries, Database Search Engine, Python (Programming Language), Machine Learning, Natural Language Processing, NLTK (NLP Analysis), Tensorflow, SQL Databases, Tableau (Software), Unstructured Data, Git, Matplotlib, HuggingFace, Data Analytics, Plotly, Spacy, Unsupervised Learning
- **Published:** July 11, 2026
- **Apply:** https://www.careerjet.com/job/usb9779af3e6ecc7cda585f0adb0703fb3/eaa

## About the Role

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 may be exchanged for degree. Additional certifications relevant to data modeling will exchange for 6 months to 1 year of experience depending on certification.
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.

## Description

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.


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