BT-377 – Data Scientist
Skill Level: Expert
Location: McLean, VA (fully on-site, no remote option)
- Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**
Required Skills
- 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.
Desired Skills
- 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.