Data Scientist

BT-285 – Data Scientist Skill Level: Subject Matter Expert Location: McLean, VA (fully on-site, no remote option)

• The Contractor shall conduct sophisticated analysis using deployed tools and natural language processing.
• The Contractor shall analyze large amounts of raw data, including text data, to provide business insights.
• The Contractor shall preprocess or clean structured and unstructured client data, including text data.
• The Contractor shall design and implement advanced ETL code and table configurations for complex data sets.
• The Contractor shall use Structured Query Language (SQL) in organization’s Oracle database to develop and organize relevant information with supporting analytics.
• The Contractor shall independently, or with a team, author analytic publications and produce ad-hoc reports to include data visualizations using the client’s templates.
• The Contractor shall stay current with the client’s enterprise metadata collection tools.
• The Contractor shall implement the client’s existing coordination process.
• The Contractor shall provide technical education to staff on an ad-hoc basis.
• The Contractor shall provide subject matter expertise in NLP to support client’s initiatives
• 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.