Senior Machine Learning Engineer

3 days ago


Salem, Tamil Nadu, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 20,00,000
Data ScientistKey Position Overview:

This is a critical role in developing innovative technology solutions that drive the industry leader in healthcare, financial, and clinical administration.

The hands-on Lead Data Scientist position focuses on creating and implementing machine learning models and predictive analytics solutions to drive AI-powered innovation in healthcare.

You will be the lead data science technologist responsible for developing and implementing ML/AI products from concept to production, gaining a competitive advantage in the market.

Alongside our Director of Data Science, you will work at the intersection of healthcare, finance, and cutting-edge data science solving complex challenges.

This is a greenfield opportunity within our Product Transformation division where you'll build groundbreaking machine learning capabilities from the ground up.

You'll shape the future of our data science & analytics foundation working with cutting-edge tools and methodologies in a collaborative, innovation-driven environment.

Responsibilities:

  • Collaborate with subject matter experts in clinical and financial administration across practices, health systems, hospitals, and payors.
  • Develop predictive machine learning models for Revenue Cycle Management analytics including:
    • Payer Propensity Modeling predicting payer behavior and reimbursement likelihood.
    • Claim Denials Prediction identifying high-risk claims before submission.
    • Payment Amount Prediction forecasting expected reimbursement amounts.
    • Cash Flow Forecasting predicting revenue timing and patterns.
    • Patient-Related Models enhancing patient financial experience and outcomes.
    • Claim Processing Time Prediction optimizing workflow and resource allocation.
  • Require expertise in SQL, Python, cloud platforms (preferably AWS), statistical modeling, and machine learning techniques.
  • Experience with model deployment, monitoring, and MLOps practices.
  • Excellent communication skills translating complex technical concepts to non-technical stakeholders.

Qualifications:

  • Advanced degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of hands-on data science experience deploying ML models to production.
  • US Healthcare industry experience, particularly in Health Insurance and/or Medical Revenue Cycle Management.
  • Knowledge of healthcare data standards (HL7, FHIR, X12 EDI).
  • Experience with deep learning frameworks (TensorFlow, PyTorch).
  • Familiarity with real-time streaming data processing.
  • Previous leadership or mentoring experience.

Key Skills:

  • Machine Learning
  • Python
  • SQL
  • Cloud Platforms
  • Statistical Modeling
  • MLOps


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