Remote Federal AI Data Scientist – Production ML & Analytics

St. George Tanaq Corporation; Frankfort (KY); On-site; USD 110,000 - 160,000; Full time

Job summary

Tanaq Technical Services (TTS), a division of St. George Tanaq Corporation, seeks an AI Data Scientist to support HUD OCIO on a federal contract.

This remote role requires US residency and a federal background check with potential 10–15% travel within the United States. You will build, deploy, and operationalize ML models, engage with engineering and security teams, and advance responsible AI governance across enterprise-scale analytics initiatives.

Qualifications

• 5+ years of professional experience in data science, machine learning, or applied AI.
• Demonstrated experience deploying predictive models and ML solutions in production.
• Strong background in statistical analysis, ML algorithms, and data modeling techniques.
• Experience with large-scale datasets and modern data platforms.

Responsibilities

• Develop, train, validate, and deploy ML models and predictive analytics solutions.
• Design simulations, forecasting models, optimization techniques, and decision-support systems.
• Analyze structured and unstructured data to identify patterns, risks, and opportunities.
• Collaborate with engineering, AI architects, security professionals, and stakeholders on production-ready AI capabilities.
• Contribute to MLOps practices, governance, and model lifecycle management.

Skills

Python

Machine Learning

SQL

NoSQL

Cloud Platforms

Education

Bachelor's degree in Data Science or related field

Tools

Spark

Kafka

TensorFlow

PyTorch

Job description

Tanaq Technical Services (TTS), a division of St. George Tanaq Corporation, seeks an AI Data Scientist to support HUD OCIO on a federal contract.

This remote role requires US residency and a federal background check with potential 10–15% travel within the United States. You will build, deploy, and operationalize ML models, engage with engineering and security teams, and advance responsible AI governance across enterprise-scale analytics initiatives.