AI-Driven Data Scientist for Healthcare Ops & Growth

Access Labs

Town of Florida (NY)

On-site

USD 110,000 - 170,000

Full time

14 days+
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Job summary

Access Medical Laboratories is seeking an innovative Data Scientist to join our Digital Transformation team. Reporting to the Digital Transformation Manager, you will use AI, ML, and predictive analytics to drive efficiency, improve the customer experience, and boost business performance across Operations, Finance, and Laboratory functions.

The ideal candidate translates complex business problems into scalable AI solutions, partners with cross-functional stakeholders, builds predictive models,

Qualifications

  • Bachelor's degree in a quantitative field required.
  • 1-3 years of DS/ML experience in production env.
  • Strong Python and SQL proficiency.
  • Experience deploying ML models and ML Ops familiarity.

Responsibilities

  • Develop and deploy AI/ML solutions to improve operations and business outcomes.
  • Collaborate with leaders to identify opportunities for AI and analytics.
  • Translate business needs into predictive models and actionable insights.
  • Build production-ready AI/ML models and monitor performance.
  • Create dashboards and reports for stakeholders.
  • Integrate AI into existing workflows with IT and labs teams.

Skills

Python
SQL
ML/AI
Cloud
Power BI
Tableau
Data Visualization
Big Data
Problem Solving

Education

Bachelor's degree in Data Science/CS/Statistics/Math/Engineering
Master's degree preferred

Tools

TensorFlow
PyTorch
Scikit-learn
Azure
AWS
Google Cloud

Job description

Access Medical Laboratories is seeking an innovative Data Scientist to join our Digital Transformation team. Reporting to the Digital Transformation Manager, you will use AI, ML, and predictive analytics to drive efficiency, improve the customer experience, and boost business performance across Operations, Finance, and Laboratory functions.

The ideal candidate translates complex business problems into scalable AI solutions, partners with cross-functional stakeholders, builds predictive models,

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