Manager, Data Science

Mosai•Jacksonville, FL

2d•Hybrid

About The Position

We’re seeking a hands-on Manager, Data Science to join our growing team and drive the development of AI capabilities that will revolutionize how home health organizations operate. This is an exciting opportunity to be both a technical contributor and an emerging leader, working at the intersection of advanced AI and healthcare innovation. In this role, you’ll lead the development of AI solutions that reduce repetitive paperwork for healthcare back office workers, accelerate and automate the home health intake process, and enable early intervention to improve patient outcomes. You’ll work closely with ML engineers and cross-functional teams to bring these capabilities from concept to production. This position offers a unique opportunity to grow into a leadership role while remaining deeply technical. You’ll manage a small but growing team of data scientists, with responsibility for hiring and developing talent as we scale our AI capabilities.

Requirements

Master’s degree in Data Science, Machine Learning/AI, Mathematics, Computer Science, Statistics, or a related quantitative field
6+ years of progressive experience in data science or advanced analytics in a software-based organization.
Strong proficiency in Python and experience with modern ML/AI frameworks
Hands-on experience with large language models (LLMs) and agentic AI systems
Experience with OCR technologies and document processing workflows
Familiarity with cloud platforms, specifically Azure and/or AWS
Knowledge in experimental design, and statistical hypothesis testing
Strong problem-solving skills and ability to translate business problems into technical solutions
Excellent communication skills, both written and verbal
Collaborative mindset and enthusiasm for mentoring others
Passion for using AI to solve real-world healthcare challenges

Nice To Haves

2+ years of hands-on management or team leadership experience, with direct responsibility for mentoring, performance management, and delivery
Experience in healthcare, particularly with home health or related healthcare operations
Knowledge of healthcare data standards, privacy regulations (HIPAA), and compliance requirements
Previous experience deploying production ML systems
Familiarity with MLOps practices and tools
Experience with natural language processing (NLP) for clinical or healthcare text
Publications or contributions to the ML/AI community

Responsibilities

Design, develop, and deploy agentic AI systems using large language models (LLMs) to automate healthcare workflows
Build and optimize OCR and document processing pipelines to extract and structure information from healthcare documents
Design, implement, and execute the processes of data labeling, hypothesis creation & testing, experiment design and execution, accuracy measurement.
Develop machine learning models that enable early intervention and improve patient outcomes
Collaborate closely with ML engineers to transition models from development to production
Architect scalable data science solutions using Python, Azure, and AWS
Stay current with emerging AI technologies and identify opportunities to apply them to home health challenges
Lead and mentor data scientists, fostering their technical growth and career development
Participate in hiring processes to build and scale the data science team
Develop your leadership skills with support from the VP of Data Science
Establish best practices for code quality, model development, and documentation
Facilitate knowledge sharing and collaboration across the team
Partner with product, clinical and engineering teams to define AI product roadmap
Communicate technical concepts and results to non-technical stakeholders
Contribute to the overall data science strategy and vision
All other job-related duties as assigned