Data Scientist
Overview
Data Scientist McLean, VA TS/SCI with PolyAt Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision‑measured outcomes, and relentless grit into mission‑ready solutions.
Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Data Scientist in McLean, Virginia .
Responsibilities
We are seeking a highly skilled Data Scientist with expertise in Natural Language Processing (NLP) to join our team. The ideal candidate will have hands‑on experience in developing advanced NLP models and implementing techniques for Named Entity Recognition (NER), entity and relationship extraction, and entity linking. You will work on challenging projects that involve transforming unstructured text into structured insights, enabling smarter decision‑making across the organization
Qualifications
Required Qualifications:
- Proven experience in NLP model development using frameworks such as spaCy, Hugging Face Transformers, or AllenNLP.
- Strong understanding of NER, entity extraction, and relationship modeling techniques.
- Proficiency in Python and libraries like PyTorch, TensorFlow, scikit‑learn.
- Experience with knowledge graphs and entity linking methodologies.
- Familiarity with text preprocessing, tokenization, and embedding techniques (e.g., Word2Vec, BERT).
- Solid grasp of machine learning fundamentals and statistical modeling.
Desired Qualifications
- Experience with large language models (LLMs) and fine‑tuning for domain‑specific tasks.
- Knowledge of graph databases (e.g., Neo4j) and ontology design.
- Background in information retrieval and semantic search.
- Exposure to cloud platforms (AWS, GCP, Azure) for model deployment.
What you can expect from us
BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
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