AI-Driven Laboratory Data Scientist

Access Labs PTY; Florida; On-site; USD 90,000 - 130,000; Full time

Job summary

Access Medical Laboratories seeks a data scientist to join the Digital Transformation team. You will leverage AI/ML techniques to drive operational efficiency, customer experience, and business performance across Operations, Finance, Commercial/Marketing, and Laboratory functions.

The ideal candidate is passionate about turning complex business problems into scalable AI-driven solutions and will collaborate with stakeholders to deploy models, measure impact, and continuously improve processes.

Qualifications

• Bachelor's degree in a quantitative field.
• 1-3 years of professional experience in DS/AI/Advanced Analytics.
• Experience deploying ML models in production.

Responsibilities

• Develop and implement AI/ML solutions across departments.
• Collaborate with leaders to identify AI opportunities.
• Translate business needs into predictive models and insights.
• Design, validate, and deploy production-ready AI/ML models.
• Monitor model performance and optimize outcomes.
• Build dashboards and communicate insights to stakeholders.
• Integrate AI solutions into existing workflows.

Skills

Python

SQL

Machine Learning

Statistical modeling

MLOps

AI/ML deployment

Communication

Cross-functional collaboration

Project management

Education

Bachelor's in Data Science/CS/Statistics/Math/Engineering

Master's degree preferred

Tools

Scikit-learn

TensorFlow

PyTorch

Power BI

Tableau

Azure

AWS

Google Cloud

Job description

Access Medical Laboratories seeks a data scientist to join the Digital Transformation team. You will leverage AI/ML techniques to drive operational efficiency, customer experience, and business performance across Operations, Finance, Commercial/Marketing, and Laboratory functions.

The ideal candidate is passionate about turning complex business problems into scalable AI-driven solutions and will collaborate with stakeholders to deploy models, measure impact, and continuously improve processes.