Mission-Driven ML Engineer & Data Scientist for Federal Health

Prometheus Federal Services (PFS); Virginia (MN); On-site; USD 90,000 - 120,000; Full time

Job summary

A federal health technology partner is looking for a Machine Learning Engineer/Data Scientist to innovate health analytics for the Department of Veterans Affairs. The candidate will develop advanced machine learning models, collaborate with interdisciplinary teams, and handle large healthcare datasets. A Master's degree and five years of experience in ML/AI are required, along with proficiency in Python and relevant ML libraries. This is a full-time, mid-senior level position based in Virginia, Minnesota.

Qualifications

• Master's degree and five years of relevant experience required.
• Hands-on experience applying ML techniques to real-world problems.
• Fluency in English is mandatory.

Responsibilities

• Develop and deploy cutting-edge data science solutions.
• Collaborate with teams to optimize business operations.
• Perform advanced statistical analyses on large datasets.
• Deploy AI/ML models for decision support systems.
• Continuously research state-of-the-art AI/ML methods.

Skills

Machine Learning

Python

Statistical Modelling

Data Visualization

Education

Master's degree in Data Science or related field

Tools

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

A federal health technology partner is looking for a Machine Learning Engineer/Data Scientist to innovate health analytics for the Department of Veterans Affairs. The candidate will develop advanced machine learning models, collaborate with interdisciplinary teams, and handle large healthcare datasets. A Master's degree and five years of experience in ML/AI are required, along with proficiency in Python and relevant ML libraries. This is a full-time, mid-senior level position based in Virginia, Minnesota.