Data Scientist Quality Department Flexible Location

The pay for this position is between $100000 and $115000 annually.

Data Scientist

Position Overview

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.

Core Responsibilities

Advanced Analytics and Modeling
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

Strategic and Program Evaluation
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

• Collaborates with Quality and Clinical leadership to identify and synthesize data and data trends into actionable operational frameworks
• Works in collaboration with quality and training team members as a translator between non technical stakeholders and technical teams

Technical Collaboration and Architecture
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

Communication and Insight Delivery
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

Required Qualifications

• Masters degree in data science statistics applied mathematics analytics or 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

Preferred Qualifications

• 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

Required Experience:

IC