Senior Data Science Engineer - Remote

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Science Engineer in the United States.

In Short

• Design, develop, and deploy machine learning models on large-scale healthcare datasets.
• Contribute to solutions that drive improvements in patient care and operational efficiency.
• Collaborate with cross-functional teams to translate complex data into actionable insights.
• Integrate cutting-edge AI and ML research into practical, scalable solutions.
• Serve as a technical mentor and guide peers in best practices.
• Optimize predictive performance and interpretability through feature engineering and modeling techniques.
• Follow MLOps best practices for model integration into production systems.
• Stay current with AI/ML research, applying innovations to solutions.
• Balance creativity with engineering feasibility in data-driven solutions.
• Make a measurable impact in a mission-driven environment.

Requirements

• Experience in machine learning and data science.
• Strong understanding of healthcare datasets.
• Proficiency in MLOps practices.
• Ability to collaborate with diverse teams.
• Technical leadership experience.
• Familiarity with AI and generative AI technologies.
• Strong analytical and problem-solving skills.
• Excellent communication skills.
• Passion for innovation and technical excellence.
• Ability to mentor and guide peers.

Benefits

• Opportunity to work in a fast-paced, mission-driven environment.
• Chance to make a meaningful impact in healthcare.
• Collaborative work culture with cross-functional teams.
• Professional development opportunities.
• Access to cutting-edge technology and research.
• Flexible working hours.
• Competitive compensation.