Data Scientist

Demonstrate 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.

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

Demonstrate professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras.

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

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

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

Demonstrate academic or professional experience communicating methodological choices and model results.

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

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

Demonstrate experience leveraging GPUs for accelerated computing.

Develop practical approaches for measuring performance.

Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.

Conduct advanced statistical analysis on personnel, intelligence and performance metrics.

Assist in selection or development of appropriate methodology to conduct research.

Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.

Desired Skills:

Experience writing Python scripts that pull data from web-based APIs and relational databases.

Experience with cloud computing development and architecture.

Experience with front-end web development frameworks such as Flask.

Experience developing applications for semantic search.

Experience tuning LLMs on custom data sets and applying results to specific use cases.

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