Data Scientist (Hybrid)

Description

We are looking for a talented Data Scientist to support the analysis of mission critical and mission-support data sets.

Requirements

Essential Job Responsibilities

• The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data analysis and analytic development efforts in the past. 
• The candidate will have experience authoring data transforms and statistical analytics for data quality and conformance validation. 
• To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation. 
• The candidate will work both independently and as part of a team to accomplish client objectives.

Minimum Qualifications

• 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)
• 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.
• Place of Performance: Hybrid work in San Antonio, TX.

Desired Skills (Optional)

• 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.
• 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.