Data scientist needs 9 years total relevant experience plus the following: BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree)

Data scientist requires:

• Experience with NOSQL databases such as Accumulo a plus

• Familiarity with deploying models as API's or within containerized environments (e.g., Docker, Kubernetes) to serve and monitor models in production.

• Security Clearance-Current active TS, SCI eligible

• Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK)

• Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.

• Familiarity with various log formats such as JSON, XML, and others.

• Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification.

• Willingness to do a programming challenge during the interview process.

• Experience with Jupyter Notebooks, Python Data Science Libraries.

• Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models.

•

• Experience with Large Language Models (LLMs)/transformer models

• Experience with writing, updating Java API's

• Prior experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer.

• Experience with restful API's

• Familiarity with Agile Project team and task management environment.

• Experience with Zoom/Team/Meet style team meetings.