Senior NLP/ML Data Scientist – TS/SCI Clearance

Footbridge Federal; Centreville (VA); On-site; USD 140,000 - 180,000; Full time

Job summary

Footbridge Federal is seeking a skilled NLP/ML specialist to develop and optimize models for text classification, semantic search, and topic modeling. You will design preprocessing pipelines, select Python libraries, and establish performance metrics across ML systems.

The role requires strong experience with PyTorch or TensorFlow, HuggingFace, and SQL, plus hands-on GPU-accelerated training and deployment.

Qualifications

• Active TS/SCI with Full Scope Polygraph (FSP) clearance.
• Strong proficiency with Python NLP libraries (SpaCy, Gensim, NLTK) and HuggingFace Transformers.
• Hands-on experience with PyTorch, TensorFlow, or Keras, including encoder–decoder and generative models.
• Experience building text classification and topic models with Scikit-learn.
• Advanced SQL proficiency with CTEs, subqueries, set operations, aggregations.

Responsibilities

• Develop, train, and evaluate ML models for text classification, semantic search, and topic modeling.
• Design data preprocessing workflows and choose Python libraries for text tasks.
• Establish metrics and frameworks to measure model and system performance.
• Leverage GPUs to optimize training and deployment of DL models.
• Manage code repos and deployment pipelines using standard version control.

Skills

NLP libraries (SpaCy / Gensim / NLTK)

HuggingFace Transformers

PyTorch / TensorFlow / Keras

Text classification

Topic modeling

SQL (CTEs, subqueries, aggregations)

GitHub / Jenkins / GPU computing

Tools

GitHub

Jenkins

GPU-accelerated computing

Job description

Footbridge Federal is seeking a skilled NLP/ML specialist to develop and optimize models for text classification, semantic search, and topic modeling. You will design preprocessing pipelines, select Python libraries, and establish performance metrics across ML systems.

The role requires strong experience with PyTorch or TensorFlow, HuggingFace, and SQL, plus hands-on GPU-accelerated training and deployment.