I04 Data Scientist

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. 

KEY QUALIFICATIONS

• Clearance: Current Top-Secret Clearance, SCI eligible 
• Education and Years of Experience: 9 years’ experience and a Bachelor of Science in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree) 


• Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning / natural language processing (e.g., Scikit-Learn, PyTorch, SpaCy, 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.  
• Good communication skills 
• Place of Performance: Hybrid work in San Antonio, TX. 

DESIRED QUALIFICATIONS

• Experience with NOSQL databases such as Accumulo a plus 
• Familiarity with deploying models as APIs or within containerized environments (e.g., Docker, Kubernetes) to serve and monitormodels in production. 
• Experience with Large Language Models (LLMs) / transformer models 
• Experience with writing, updating java APIs  
• Prior Experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer. 
• Experience using restful APIs 
• Familiarity with Agile Project team and task management environment. 
• Experience with Zoom/Teams/Meet style team meetings