Data Scientist

Data Scientist 1 Requisition  Working Title Data Scientist 1 Position Grade 14

The University of New Mexico Comprehensive Cancer Center seeks a highly analytical and inquisitive professional to join the Business Performance & Insights team within the Fiscal Services Department as a Data Scientist 1.

In this role, you will apply data science techniques to design, integrate, and manage critical financial and operational data that powers strategic decision‑making across the Cancer Center. You will collaborate with stakeholders across departments to streamline reporting, enhance data quality, and develop predictive models, dashboards, and analytics that drive improvements in care delivery, resource utilization, and organizational performance.

With a strong foundation in statistical analysis, SQL, and data visualization (Tableau), you will ensure the accuracy and integrity of data systems while transforming complex datasets into clear, actionable insights that support the Cancer Center’s mission and strategic goals.

• Lead the integration of healthcare financial and operational data from multiple source systems (e.g., Banner, Lawson, PMS, RCM, ERP) into Workday Adaptive Planning and other enterprise platforms.
• Establish and maintain appropriate data collection, storage, and governance procedures to ensure data integrity, consistency, and accuracy across integrated systems.

• Capture, mine, and analyze large healthcare data sets using advanced analytical techniques such as predictive modeling, clustering, pattern recognition, and statistical analysis.
• Develop, test, and operationalize machine learning and statistical models (e.g., linear regression, decision trees, random forest) to predict financial and operational outcomes.
• Continuously refine and validate models based on performance metrics and health system feedback.

• Design, build, and maintain complex reports, dashboards, and visual analytics within Workday Adaptive Planning and other BI tools tailored to finance and business user needs.
• Visualize and communicate analytical findings in a clear, compelling manner to stakeholders with varying levels of technical expertise.
• Develop and automate Excel‑based and system‑generated reports that translate raw data into actionable insights for leadership and operational teams.

• Collaborate with finance, clinical, and IT leadership teams to align data governance, financial reporting, and analytic strategies.
• Partner closely with Financial Analysts to ensure alignment between operational data and financial planning models.
• Champion the adoption of advanced analytics and data science practices across the institution.

• Perform data validation, audit, and reconciliation routines to ensure data reliability and integrity across systems.
• Create and maintain comprehensive documentation including data models, design specifications, user manuals, and system diagrams.
• Document code, model assumptions, and workflow modifications for transparency and reproducibility.

• Strong analytical and problem‑solving skills with the ability to interpret complex operational needs and translate them into data‑driven solutions.
• Expertise in financial data modeling, statistical analysis, and data visualization.
• Understanding of healthcare finance, revenue cycle, and operational data structures.
• Knowledge of current and emerging analytics technologies, data management principles, and programming methodologies.
• Strong interpersonal and collaboration skills with the ability to work effectively across diverse teams.

As part of the application process, candidates are asked to submit one sample work product that best demonstrates their technical and analytical skills relevant to this position. Acceptable examples include:

• A Tableau dashboard or visualization you created (screenshots or packaged workbook; data may be de‑identified or simulated).
• A SQL query or script used to prepare or analyze data for reporting purposes.
• A brief project summary (1–2 pages) describing a…