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# Role-Lead Data Scientist

- **Company:** TALENTRIX AI INC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Amazon Web Services, Data Integrity, Github, Python (Programming Language), Machine Learning, SQL Databases, Test Data, Model Validation, Build Management, Data Analytics, Performance Monitor, Data Management, Data Pipelines, Databricks
- **Published:** September 11, 2026
- **Apply:** https://www.dice.com/job-detail/0ba915ae-5f41-4c4d-8fce-5e48b9572daa

## About the Role

Required Skills: Python, SQL, .NET, AWS, Databricks, Github, Healthcare Data

Preferred Skills: Machine Learning (ML)

## Description

The Lead Data Scientist will lead data-driven initiatives that generate actionable insights, develop predictive and statistical models, and enable data-centric decision-making across healthcare business domains. This role will help create well-governed master data products that stakeholders and end users can trust. As the primary subject-matter contact for entity resolution, the Lead Data Scientist will address complex data-matching challenges across large, disparate data silos and collaborate with cross-functional teams to unlock insights from healthcare datasets., * Analyze large, complex datasets to identify trends, patterns, and actionable insights.

 * Develop, implement, and validate statistical and machine learning models.
 * Solve enterprise-scale record linkage, deterministic and probabilistic matching, and graph-based entity resolution challenges.
 * Conduct root-cause analysis on training and test data to identify and resolve model anomalies.
 * Establish robust validation and testing procedures to ensure data quality, model reliability, and data integrity.
 * Support model training, inference, deployment, and ongoing performance monitoring.
 * Develop and refine key performance indicators to measure success across business functions.
 * Establish processes for tracking, reporting, and communicating performance metrics.
 * Design and build data pipelines that support semantic-layer development and stakeholder needs.
 * Contribute to trusted, scalable, and well-governed master data products.