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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying machine learning models and predictive analytics using Python and Databricks, while ensuring compliance with healthcare data governance and privacy standards. Proficient in data quality management, MDM processes, and building scalable data science workflows.
Highest-signal resume keywords
Machine Learning Model DevelopmentDatabricks and PySpark ExpertiseAdvanced Python and SQL SkillsMaster Data Management (MDM) KnowledgeHealthcare Data Governance Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningPredictive AnalyticsData Quality ManagementData ProfilingFeature EngineeringExploratory Data AnalysisData LineageData StandardizationData DeduplicationEntity Resolution
Tools & Technologies
DatabricksPySparkSQLDelta LakeMLflowPower BITableauAzureAWSInformatica MDM
Industry Keywords
Healthcare DataHIPAA ComplianceMDM ProcessesHealthcare Interoperability StandardsPayer DataProvider DataPatient DataRegulated DataClaims DataData Governance
Tech Stack
Tools & technologiesAWSAzureCloudInformaticaPySparkPythonSQLTableau
About the role
Key responsibilities & impact- Develop and productionize machine learning models, statistical analyses, and predictive analytics using Python and Databricks
- Build and maintain scalable data science workflows using Databricks, PySpark, SQL, Delta Lake, and related cloud data technologies
- Work with MDM processes and frameworks to establish consistent, accurate, and trusted master data across multiple source systems
- Analyze and resolve data quality, duplication, matching, and entity-resolution issues across member, provider, patient, and other healthcare-related datasets
- Partner with Data Engineering, Product, Analytics, and business stakeholders to translate healthcare business problems into data science solutions
- Develop data validation, profiling, and quality-monitoring approaches to improve reliability of analytical datasets
- Perform exploratory data analysis and identify trends, patterns, and insights that can support member engagement and healthcare outcomes
- Contribute to feature engineering, model evaluation, experimentation, and deployment of data science solutions into production
- Ensure data solutions follow applicable healthcare data privacy, security, and governance requirements, including HIPAA where applicable
- Document models, datasets, assumptions, methodologies, and data lineage to support reproducibility and governance
Requirements
What you’ll need- 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field
- Strong hands-on experience with Databricks and PySpark
- Advanced Python and SQL skills
- Experience developing and deploying machine learning or predictive models
- Strong understanding of Master Data Management (MDM) concepts, including data matching and deduplication, entity resolution, golden/master records, data standardization, data quality, and reference/master data
- Experience working with large-scale structured and semi-structured datasets
- Experience with Delta Lake / Lakehouse architecture
- Strong understanding of data governance, data quality, and data lineage
- Experience working with healthcare, payer, provider, patient, or other regulated data is preferred
- Experience working in a HIPAA-regulated environment is highly desirable
- Experience with healthcare member/patient data and healthcare data models
- Experience with MDM platforms such as Informatica MDM, Reltio, IBM MDM, or similar technologies
- Experience with cloud platforms such as Azure or AWS
- Experience with MLflow or similar model lifecycle management tools
- Experience with Power BI, Tableau, or other analytics/visualization platforms
- Experience building production-grade ML/data science pipelines
- Familiarity with healthcare interoperability standards such as FHIR, HL7, or claims data is a plus