Senior Manager, Data Science
Walmart
PythonSparkSQL
Data Scientist, Quality
Vālenz® Health
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonSQL
About the role
- Utilize reference data sources and advanced validation techniques to ensure accuracy, completeness, and integrity of healthcare claims data
- Assess provider scoring methodologies, identify discrepancies, and develop insights to optimize coverage accuracy
- Design, develop, and maintain retrospective models for historical performance analysis and predictive models to identify high-risk patients
- Translate complex analytical findings into clear, actionable insights for internal stakeholders and external clients
- Aggregate and reconcile multiple data sources, applying statistical and computational methods to verify data integrity and identify anomalies
- Execute comprehensive data analysis workflows, evaluate outcomes, and implement enhancements to improve model accuracy and data reliability
- Review and optimize claim-matching processes, troubleshoot inconsistencies, and resolve data discrepancies
- Investigate data quality issues, conduct root cause analysis, document findings, and deliver recommendations for process improvements
- Collaborate with cross-functional teams to enhance analytical tools, refine methodologies, and implement scalable solutions
- Maintain adherence to security protocols (VPN, secure passwords, company-approved devices/software) and HIPAA compliance
Requirements
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science, Finance, or Economics) or equivalent professional experience
- Five (5) or more years of experience analyzing healthcare claims data
- Proficiency in SQL for querying and manipulating data
- Familiarity with Python or similar data tools preferred
- Advanced Excel skills, including PivotTables and complex formulas
- Knowledge of healthcare network rosters, provider data, and quality measurement methodologies
- Strong analytical, problem-solving, and critical-thinking skills
- Exceptional attention to detail and commitment to accuracy, data validation, and quality assurance
- Highly organized and self-motivated, with ability to manage multiple priorities independently
- Ability to translate complex analytical findings into clear recommendations
- US-based work location required and ability to comply with company policies such as HIPAA
- Reliable internet connection and a quiet, distraction-free workspace
- Master’s degree preferred (a plus)
