Data Scientist

BT-377 – Data Scientist
Skill Level: Expert
Location: McLean, VA (fully on-site, no remote option)

• Demonstrates 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.
• Demonstrates professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
• Demonstrates professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras
• Demonstrates professional or academic experience with the HuggingFace Transformers library and hub.
• Demonstrates experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (Scikit-learn) or deep learning models.
• Demonstrates academic or professional experience using encoder-decoder and generative language models to perform NLP tasks. 
• Demonstrates academic or professional experience communicating methodological choices and model results. 
• Demonstrates professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
• Demonstrates professional or academic experience with version control systems such as Github and Jenkins.
• Demonstrates 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.
• Database management experience: Writing and optimizing queries across relational and non-relational databases.
• Demonstrates experience using testing libraries like JUnit and Mockito to ensure application stability.
• Demonstrates experience with Core Java: Object-oriented programming (OOP) concepts, multithreading, and memory management (JVM).
• Demonstrates experience with Spring and Spring Data JPA.
• Demonstrates experience with tools and build systems such as: Eclipse, Maven, and Gradle.
• Demonstrates experience with Oracle, Apache Tomcat, AWS Cloud Framework and Linux.

• Demonstrates experience writing Python scripts that pull data from web-based APIs and relational databases.
• Demonstrates experience with cloud computing development and architecture
• Demonstrates experience with front-end web development frameworks such as Flask.
• Demonstrates experience developing applications for semantic search.
• Demonstrates experience tuning LLMs on custom data sets and applying results to specific use cases.
• Demonstrates professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.