Senior AI/ML Architect & Data Science Leader (TS/SCI)

SAIC; Bethesda (MD); On-site; USD 200,000 - 240,000; Full time

Job summary

SAIC seeks a Chief Data Scientist to serve as the senior technical authority for Data Science and Analytics on an Intelligence Community program. On-site in Bethesda, MD, with travel as required, you will oversee AI/ML model development and data pipelines while aligning capabilities across functions.

You will lead teams, set standards, validate models, and push cutting-edge analytics including NLP, deep learning, and data fusion to deliver defensible outputs for complex multi-source data sets.

Qualifications

• Active TS/SCI with polygraph is required for consideration.
• Ten years of data science/analytics experience with senior technical leadership.
• Seven years designing, developing and deploying AI/ML models in operational settings.
• Five years leading or supervising data science teams and managing projects.

Responsibilities

• Provide technical leadership and performance management for data science personnel.
• Architect and oversee AI/ML models and large-scale data pipelines.
• Lead predictive analytics, pattern recognition, anomaly detection, and NLP on multi-source data.
• Integrate data science across program areas to maximize intelligence value.
• Establish data science standards, model validation, and QA procedures.
• Identify and integrate emerging AI/ML tools to advance analytics capabilities.

Skills

Technical leadership

Data science

ML deployment

NLP

AI/ML tools evaluation

Quality assurance

Education

Master's degree or higher in Data Science, Computer Science, Mathematics, Statistics, Applied Mathematics, Electrical Engineering, or related field

Tools

Data processing pipelines

AI/ML tools evaluation

Job description

SAIC seeks a Chief Data Scientist to serve as the senior technical authority for Data Science and Analytics on an Intelligence Community program. On-site in Bethesda, MD, with travel as required, you will oversee AI/ML model development and data pipelines while aligning capabilities across functions.

You will lead teams, set standards, validate models, and push cutting-edge analytics including NLP, deep learning, and data fusion to deliver defensible outputs for complex multi-source data sets.