Data Scientist

J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities.

Our services improve Information System networking performance and compliance and protect electronic assets from loss and compromise.

We welcome your application to receive consideration for the following position.

Introduction We are seeking a skilled Data Scientist to support mission-critical initiatives through advanced analytics, machine learning, and natural language processing (NLP).

The ideal candidate will analyze complex datasets, develop predictive models, and collaborate with cross-functional teams to deliver data-driven solutions.

This role requires strong analytical skills, experience with modern data science tools, and a passion for solving complex problems in a fast-paced environment.

• 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.