Healthcare Data Scientist – Claims, Quality, & Provider Performance

Valenz•Phoenix, AZ

8d•Remote

About The Position

As a Healthcare Data Scientist at Valenz, you’ll work hands-on with large, complex healthcare claims and provider datasets to ensure data accuracy and integrity. You’ll continuously dig into the data, investigate anomalies, and contribute to models that inform how we evaluate provider performance, care quality, and risk. Using SQL and Python, you’ll identify and resolve data issues, apply statistical methods, and deliver clear, actionable insights to support smarter decision-making across the organization. This is a highly analytical and collaborative role with real impact on how care is measured, delivered, and improved.

Requirements

Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Computer Science, Finance, or Economics).
7+ or more years of experience analyzing healthcare claims data, including complex and imperfect datasets.
Strong analytical, problem-solving, and critical-thinking skills with proven ability to uncover root causes
Proficiency in SQL for querying and manipulating data; familiarity with Python or similar data tools preferred.
Advanced Excel skills, including PivotTables and complex formulas, for data modeling and reporting.
Knowledge of healthcare network rosters, provider data, and quality measurement methodologies.
Exceptional attention to detail with a commitment to accuracy, data validation, and quality assurance.
Highly organized and self-motivated, with the ability to manage multiple priorities independently while collaborating effectively with others.

Nice To Haves

Master’s degree

Responsibilities

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 and prioritize actionable interventions.
Translate complex analytical findings into clear, actionable insights, and effectively communicate results and recommendations to internal stakeholders and external clients.
Aggregate and reconcile multiple data sources, applying statistical and computational methods to verify data integrity, identify anomalies, and implement necessary corrections.
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 to maintain high-quality outputs.
Investigate data quality issues, conduct root cause analysis, document findings, and deliver actionable recommendations for process improvements.
Collaborate with cross-functional teams to enhance analytical tools, refine methodologies, and implement scalable solutions that improve efficiency and analytical capabilities
Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties.

Benefits

Generously subsidized company-sponsored Medical, Dental, and Vision insurance, with access to services through our own products, Healthcare Blue Book and KISx Card.
Spending account options: HSA, FSA, and DCFSA
401K with company match and immediate vesting
Flexible working environment
Generous Paid Time Off to include vacation, sick leave, and paid holidays
Employee Assistance Program that includes professional counseling, referrals, and additional services
Paid maternity and paternity leave
Pet insurance
Employee discounts on phone plans, car rentals and computers
Community giveback opportunities, including paid time off for philanthropic endeavors