Data Science Engineer
Nimble Solutions (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 8–16 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Build, optimize, and maintain Microsoft Fabric-based data ingestion, transformation pipelines, and analytical data models for healthcare revenue cycle management (RCM).
- Apply statistical analysis and machine learning to develop, deploy, and monitor predictive models and decision-support tools that improve RCM operational performance.
- Collaborate with cross-functional teams to ensure data quality, governance, and production readiness of data products with clear documentation and stakeholder communication.
Minimum Requirements
- Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field (or equivalent experience).
- Demonstrated hands-on experience engineering data solutions specifically in Microsoft Fabric (mandatory).
- Strong skills in SQL and Python for data preparation, analysis, and model development; experience building production data pipelines and analytical data models.
- Work Experience Required: Not explicitly mentioned in the JD (but expects demonstrated hands-on engineering and applied data science experience). Location: Hyderabad, India, Full-time position.
Ideal Candidate Profile
- Experienced with Microsoft Fabric data engineering and analytics within healthcare or financial domains, particularly revenue cycle management or medical billing.
- Capable of independently managing end-to-end data product lifecycles including pipeline development, model deployment, monitoring, and stakeholder communication.
- Comfortable working in operational, cross-functional environments with emphasis on data governance, privacy, and responsible AI practices in sensitive healthcare data contexts.