Data Scientist – Onshore

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement machine learning models, statistical analyses, and predictive analytics utilizing Python and Databricks.

• Create and sustain scalable data science workflows leveraging Databricks, PySpark, SQL, Delta Lake, and other cloud data technologies.

• Collaborate with MDM processes and frameworks to ensure consistent, accurate, and reliable master data across various source systems.

• Investigate and resolve data quality, duplication, matching, and entity-resolution challenges within member, provider, patient, and other healthcare-related datasets.

• Partner with Data Engineering, Product, Analytics, and business stakeholders to convert healthcare business challenges into data science solutions.

• Establish data validation, profiling, and quality-monitoring methodologies to enhance the reliability of analytical datasets.

• Conduct exploratory data analysis and uncover trends, patterns, and insights to support member engagement and healthcare outcomes.

• Contribute to feature engineering, model assessment, experimentation, and the deployment of data science solutions into production.

• Ensure data solutions comply with relevant healthcare data privacy, security, and governance regulations, including HIPAA where applicable.

• Document models, datasets, assumptions, methodologies, and data lineage to facilitate reproducibility and governance.

⛳️ Requirements

• Over 8 years of experience in Data Science, Machine Learning, Advanced Analytics, or a similar field.

• Proficient hands-on experience with Databricks and PySpark.

• Advanced skills in Python and SQL.

• Experience in developing and deploying machine learning or predictive models.

• Strong grasp of Master Data Management (MDM) principles, including data matching and deduplication, entity resolution, golden/master records, data standardization, data quality, and reference/master data.

• Experience handling large-scale structured and semi-structured datasets.

• Familiarity with Delta Lake / Lakehouse architecture.

• Solid understanding of data governance, data quality, and data lineage.

• Background in working with healthcare, payer, provider, patient, or other regulated data is preferred.

• Experience in a HIPAA-regulated environment is highly desirable.

• Knowledge of healthcare member/patient data and healthcare data models.

• Experience with MDM platforms such as Informatica MDM, Reltio, IBM MDM, or similar technologies.

• Proficiency with cloud platforms like Azure or AWS.

• Familiarity with MLflow or similar model lifecycle management tools.

• Experience with Power BI, Tableau, or other analytics/visualization platforms.

• Ability to build production-grade ML/data science pipelines.

• Familiarity with healthcare interoperability standards such as FHIR, HL7, or claims data is a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible working arrangements.

• Opportunities for professional development and training.

• Collaborative and innovative work environment.