Data Scientist

Overview

Data Scientist

McLean, VA

TS/SCI with Poly

At 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

• Conduct sophisticated analysis using deployed tools and natural language processing.

• Analyze large amounts of raw data, including text data, to provide business insights.

• Clean structured and unstructured Sponsor data, including text data.

• Design and implement advanced ETL code and table configurations for complex data sets.

• Use Structured Query Language (SQL) in Sponsor's Oracle database to develop and organize relevant information with supporting analytics.

• Independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the Sponsor's templates.

• Implement the Sponsor's existing coordination process.

• Provide technical education to staff on an ad-hoc basis.

• Provide subject matter expertise in NLP to support Sponsor's initiatives

Qualifications

Required Qualifications:

• Demonstrated professional or academic experience performing NLP tasks, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance.

• Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.

• Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras

• Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.

• Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.

• Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks.

• Demonstrated academic or professional experience communicating methodological choices and model results.

• Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.

• Demonstrated professional or academic experience with version control systems such as Github and Jenkins.

• Demonstrated experience leveraging GPUs for accelerated computing

Desired Qualifications

• Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.

• Demonstrated experience with cloud computing development and architecture

• Demonstrated experience with front-end web development frameworks such as Flask.

• Demonstrated experience developing applications for semantic search.

• Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.

• Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.

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.