About the Role
The candidate will design and implement machine learning models to extract insights from complex healthcare datasets, support predictive analytics initiatives, and collaborate with cross-functional teams to deliver scalable solutions.
Responsibilities
- Develop and deploy machine learning models for healthcare applications
- Analyze large and complex datasets to identify patterns and trends
- Collaborate with data engineers to ensure data quality and accessibility
- Translate business requirements into analytical approaches
- Evaluate model performance using statistical validation techniques
- Support the integration of models into production systems
- Document methodologies and findings for technical and non-technical audiences
- Stay current with advancements in machine learning and data science
- Work closely with domain experts to refine problem definitions
- Optimize models for accuracy, scalability, and efficiency
- Participate in code reviews and model validation processes
- Contribute to the development of data pipelines
- Ensure compliance with data privacy and security standards
- Present insights and recommendations to stakeholders
- Use programming languages such as Python or R for analysis
- Apply statistical methods to validate hypotheses
- Support A/B testing and experimental design
- Maintain version control for models and code
- Troubleshoot issues in model performance or data flow
- Assist in defining metrics for success and impact measurement
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model
Team
Part of a data science and analytics team focused on healthcare innovation
About the Team
This role is part of a specialized analytics unit focused on improving health outcomes through data science. The team works on high-impact projects involving claims, clinical, and operational data to drive innovation in care management and cost optimization.
What You’ll Do
- Build predictive models to identify patient risk and intervention opportunities
- Work with real-world healthcare data including claims and electronic medical records
- Collaborate with product and engineering teams to operationalize insights
- Contribute to research and development of new analytical methods
Not applicable; role based in India
