Data Scientist with Security Clearance

Required Skills:
1. 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.
2. Demonstrated professional or academic experience using Python NLP packages such as Spacy, Gensim, or NLTK to analyze or process collections of documents.
3. Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras 4.

Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.
5. 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.
6. Demonstrated academic or professional experience using encoder-decoder and generative language models to perform NLP tasks. 7. Demonstrated academic or professional experience communicating methodological choices and model results. 8.

Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries.
9. Demonstrated professional or academic experience with version control systems such as Github and Jenkins.
10. Demonstrated experience leveraging GPUs for accelerated computing.
11. Develop practical approaches for measuring performance.
12. Assist in developing types of measure, the collection of data, analyzing the data, and presenting that data to senior leadership.
13.

Conduct advanced statistical analysis on personnel, intelligence, and performance metrics.
14. Assist in selection or development of appropriate methodology to conduct research.
15. Analyze information and provide research findings in a manner that is easily grasped by the customer and consumers.
16. Database management experience: Writing and optimizing queries across relational and non-relational databases.
17. Demonstrated experience using testing libraries like JUnit and Mockito to ensure application stability.
18.

Demonstrated experience with Core Java: Object-oriented programming (OOP) concepts, multithreading, and memory management (JVM).
19. Demonstrated experience with Spring and Spring Data JPA.
20. Demonstrated experience with tools and build systems such as: Eclipse, Maven, and Gradle.
21. Demonstrated experience with Oracle, Apache Tomcat, AWS Cloud Framework and Linux.

Desired Skills:
1. Demonstrated experience writing Python scripts that pull data from web-based APIs and relational databases.
2. Demonstrated experience with cloud computing development and architecture 3. Demonstrated experience with front-end web development frameworks such as Flask.
4. Demonstrated experience developing applications for semantic search.
5. Demonstrated experience tuning LLMs on custom data sets and applying results to specific use cases.
6. Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards.