Data Scientist - Expert level
Listed on 2026-06-03
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Overview
Data Scientist — Full Time, McLean, VA. Seek to analyze large amounts of data (raw, text, sponsor, etc.) to provide business insight.
Responsibilities- Analyze large amounts of data (raw, text, sponsor, etc.) to provide business insight.
- Develop practical approaches for measuring performance; assist in collecting, analyzing, and presenting data to senior leadership.
- Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
- Assist in selecting or developing appropriate methodologies to conduct research; analyze information and present findings clearly to customers.
- Write Python scripts to pull data from web-based APIs and relational databases.
- Develop applications for semantic search.
- Tune large language models (LLMs) on custom data sets and apply results to specific use cases.
- Produce visualizations and dashboards (Tableau) to support decision making.
- Leverage GPUs for accelerated computing where applicable.
- Must be a U.S. Citizen
- Must have an Active TS/SCI clearance with Polygraph
- Experience with NLP tasks: selecting Python libraries, preprocessing, analyzing, and evaluating model performance
- Experience using Python NLP packages (Spa Cy, Gensim, NLTK) to analyze or process document collections
- Experience with deep learning frameworks (PyTorch, Tensor Flow, Keras)
- Experience with the Hugging Face Transformers library and hub
- Experience creating ML models for text classification and topic modeling using Scikit-learn or deep learning models
- Experience with encoder-decoder and generative language models for NLP tasks
- Ability to communicate methodological choices and model results
- Proficiency with SQL (CTEs, set operations, aggregations, nested subqueries)
- Experience with version control systems (Git Hub) and CI/CD tools (Jenkins)
- Experience leveraging GPUs for accelerated computing
- Experience with cloud computing development and architecture
- Experience with front-end web development frameworks such as Flask
- Experience developing applications for semantic search
- Experience with Tableau to produce visualizations and dashboards
BE, and its wholly owned subsidiary RenXTech, are trusted partners to the national security community. We are an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other status protected by law. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.
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