Data Scientist

Ardent Principles is a technology company dedicated to pushing the boundaries of what's possible through innovative IT solutions. They are seeking a highly capable Data Scientist with experience in natural language processing and machine learning to support mission-focused initiatives.

Responsibilities:

• 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
• Professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents
• Professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
• Professional or academic experience with the HuggingFace Transformers library and hub
• Creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models
• Academic or professional experience using encoder-decoder and generative language models to perform NLP tasks
• Academic or professional experience communicating methodological choices and model results
• Professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries
• Professional or academic experience with version control systems such as Github and Jenkins
• Leveraging GPUs for accelerated computing
• Developing practical approaches for measuring performance
• Assisting in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership
• Conducting advanced statistical analysis on personnel, intelligence, and performance metrics
• Assisting in selection or development of appropriate methodology to conduct research
• Analyzing information and provide research findings in a manner that is easily grasped by the customer and consumers