Data Scientist II

3 weeks ago


Dallas, Texas, United States Janus Health: Shape the Future of Healthcare Full time

We are seeking a talented and driven Data Scientist to join our multi-disciplinary team at Janus Health, where you will shape the future of healthcare. As a Data Scientist II - Healthcare Analytics Specialist, you will apply advanced data science techniques to large datasets captured from healthcare revenue cycle processes, helping to identify trends, optimize workflows, and create actionable insights that enhance the efficiency of revenue cycle management.

This role offers a unique opportunity to work at the intersection of data science, healthcare, and software development. You will collaborate closely with engineers, product managers, and domain experts to deliver high-impact solutions that directly influence product development by developing algorithms that power operational intelligence.

**Responsibilities:**

  • Data Analysis & Model Development:
    • Analyze large datasets from healthcare revenue cycle processes to uncover trends, patterns, and anomalies.
    • Build and refine machine learning models for process mining, workflow optimization, and recommendations.
    • Develop algorithms to detect workflow bottlenecks, inefficiencies, and deviations from the optimal process path.
    • Calculate metrics and KPI's to quantify process efficiency and effectiveness.
  • Collaboration & Cross-Functional Work:
    • Collaborate with software engineers, data engineers, and product managers to integrate data science solutions into the product.
    • Work with domain experts in healthcare revenue cycle management to understand business requirements and data sources.
    • Translate healthcare RCM business problems into analytical frameworks.
  • Model Validation & Optimization:
    • Validate and optimize models to ensure they deliver accurate insights and actionable recommendations for users.
    • Conduct A/B testing and model validation techniques to measure model performance in real-world conditions.
  • Visualization & Communication:
    • Develop visualizations, dashboards, and reports to communicate findings and insights effectively to both technical and non-technical stakeholders.
    • Present and explain complex models and data-driven solutions to stakeholders in product development and healthcare operations.
  • Continuous Improvement & Innovation:
    • Stay current with the latest trends in machine learning, AI, and healthcare technology, and bring innovative ideas to the team.
    • Experiment with new data science techniques to improve the product's process intelligence and automation capabilities.
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