Data Scientist - Quality Department

Data Scientist - Quality Department - Flexible Location

Job Category
:
Administration

Requisition Number
: DATAS
002438

• Posted :
  April 3, 2026
• Full-Time

• River Street, 390 River Street, Springfield, VT 05156, USA
• Hartford, 49 School Street, Hartford, VT 05047, USA

The pay for this position is between $100,000 and $115,000 annually.

The Data Scientist is responsible for advanced analytics, modeling, and predictive insights that support strategic planning, program evaluation, risk identification, and long‑term organizational decision making. This role builds on the foundation of reliable reporting and well‑defined metrics to move the organization from descriptive reporting to forward‑looking analysis.

This position focuses on identifying trends, patterns, and relationships in data that are not immediately visible through standard reporting and translating those findings into actionable insight for leadership.

The Data Scientist role is not focused on routine reporting. It is focused on deeper analytical questions, scenario modeling, and strategic insight.

• Develop predictive and statistical models related to utilization, outcomes, staffing, access, and financial performance
• Perform trend analysis and pattern detection across clinical, operational, and financial datasets
• Support forecasting, capacity planning, and scenario analysis for leadership
• Identify risk indicators and early warning signals relevant to programs and operations

• Partner with Quality leadership to evaluate program effectiveness and outcome trends
• Support Finance with long‑term financial modeling and impact analysis
• Assist leadership with data‑driven evaluation of new initiatives and service changes
• Support funding stream analysis, performance monitoring, and outcome measurement
• Collaborate with Quality and Clinical leadership to identify and synthesize data and data trends into actionable operational frameworks
• Work in collaboration with quality and training team members as a translator between non‑technical stakeholders and technical teams

• Work closely with data engineering and IT to design scalable analytical solutions
• Define data requirements for advanced analytical use cases
• Evaluate and integrate new data sources as needed
• Ensure analytical models are reproducible, documented, and interpretable

• Translate complex analytical results into clear, actionable recommendations
• Present findings to technical and non‑technical audiences
• Create visualizations and summaries that support executive decision making
• Document methodologies, assumptions, and limitations

• Master’s degree in data science, statistics, applied mathematics, analytics, or a related field—or commensurate experience
• Strong experience with statistical analysis and modeling techniques
• Proficiency in Python, R, or similar analytical languages
• Experience working with large, complex datasets
• Strong understanding of data structures and analytical workflows
• Ability to clearly communicate complex concepts to diverse audiences

• Experience in healthcare, behavioral health, or human services analytics
• Experience with predictive modeling in regulated or mission‑driven environments
• Familiarity with EMR or EHR data
• Experience supporting executive‑level decision making

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