Data Scientist

Data Scientist

FT / PT Status – Full-Time
Salary – $33.63 - $56.31 Hourly Wage
Remote Work / In-Office – Hybrid
Recruiter – Angie Rhodes | arhodes
Final date to receive applications – 7/9/2026

Love to swim in data and improve its value to end users? Come work for the Office of Financial Services within the Utah
State Medicaid program as a Data Scientist.

Medicaid is a valuable public good that around 15% of Utah’s population accesses every year. The Data Scientist role
allows you to directly impact the individuals who rely on these services by providing reports, visualizations, and
predictive analytics to the legislators, federal agencies, and advocacy groups in charge of improving access to care and
health outcomes.

This position requires advanced programming experience with SQL and relational databases. Critical thinking is a must
as the right answer is not always obvious or known. Having extensive experience with the Python programming
language is also strongly preferred.

A skills test will be administered to assess skills needed for this position prior to interviews being scheduled.

Preference may be given to those with a completed Master's degree in Statistics, Economics, Mathematics, Finance, or a
related field as determined by the hiring official.

• Business Logic Translation:
  Systematically analyze, reverse-engineer, and translate complex, proprietary business
  logic, rulesets, and calculations (currently residing in End-User Computing (EUC) tools like Microsoft Excel and
  Access) into robust, version-controlled Python and SQL code.
• Pipeline Engineering:
  Design, develop, and maintain efficient, scalable data transformation pipelines using Python
  and advanced SQL to ensure reliable, high-quality data delivery for core financial reporting, operational metrics,
• Code Governance and Auditability:
  Implement rigorous software engineering best practices, including version
  control (Git/Git Hub), automated testing, and comprehensive code review, specifically establishing controls for the
  secure and compliant handling of PHI/PII and other sensitive data assets used in state and federal reporting.
• Quality Assurance:
  Develop and execute detailed data validation and reconciliation tests to ensure that
  productionized data assets maintain and improve the accuracy and integrity of critical business rules derived from
  legacy systems.

• Logic Capture and Documentation:
  Partner directly with internal stakeholders (Finance, Operations, etc.) to
  conduct deep discovery, formally capture undocumented business processes, and stabilize the computational logic found in fragile EUC tools.
• Solution Architecture:
  Propose and design controlled data solutions that meet critical compliance and financial
  reporting needs while strictly adhering to state data governance, organizational security policies, and Federal
  standards, including HIPAA and CMS requirements.
• Data Lineage and Documentation:
  Create clear, standardized, and accessible documentation for all deployed data
  assets, including data dictionaries, detailed transformation logic, and lineage maps, supporting continuity and
  enabling future stakeholders to utilize reliable, engineered data sources.

• Contribute substantively to the definition of the team's initial technical roadmap, tooling choices, and operating
  procedures, acting as a foundational member of this new Analytics Engineering function.
• Serve as the internal subject matter expert on data productionization and data structure, providing consultative
  guidance to stakeholders transitioning from Excel/Access-based logic to production-grade SQL and Python
  workflows.

• Risks found in the typical office setting, which is adequately lighted, heated and ventilated, e.g., safe use of office
  equipment, avoiding trips and falls, observing fire regulations, etc.
• Typically, the employee may sit comfortably to perform the work; however, there may be some walking; standing;bending; carrying light items; driving an automobile, etc. Special physical demands are not required…