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.
