Data Scientist

About the role

A data scientist, a high-level individual contributor, will be collaborating with cross-functional teams. This role involves leading and coordinating data-driven efforts across different departments or disciplines. Effective communication, adaptability, and a strong understanding of both technical and business aspects are essential for success in this role.

Strategic Planning

• Work closely with stakeholders from various functional areas (such as IT, marketing, finance, and operations) to understand their data needs and align analytics initiatives with organizational goals
• Develop a strategic vision for data analysis and drive its implementation

Data Governance and Quality Assurance

• Establish data governance policies and procedures to ensure data accuracy, consistency, and security
• Collaborate with data engineers and data scientists to maintain high-quality data pipelines and databases

Cross-Functional Collaboration

• Facilitate communication and collaboration between teams
• Translate business requirements into data analysis tasks and vice versa
• Bridge the gap between technical and non-technical stakeholders

Project Management

• Lead cross-functional projects related to data analysis, reporting, and insights
• Define project scope, timelines, and deliverables
• Monitor progress and address any roadblocks

Data Exploration and Visualization

• Explore large datasets to identify patterns, trends, and insights
• Data sources include electronic health records (e.g., EPIC), decision support systems (e.g, EPSi, StrataJazz), and other healthcare systems
• Create visualizations (such as charts, graphs, and dashboards) to communicate findings effectively

Statistical Analysis and Modeling

• Apply statistical techniques to analyze data and draw meaningful conclusions
• Collaborate with data scientists to build predictive models when necessary

Change Management and Training

• Support organizational change related to data initiatives
• Train team members on data tools, best practices, and analytical methods

Qualifications

• Bachelor's degree required; master's degree preferred
• At least 5 years of experience either in healthcare or data analytics
• At least 2 years of experience working for payor companies or healthcare systems
• At least 2 years of experience in relational database
• Proficient in SQL and at least 1 other programming languages (e.g., Python, R, SAS)
• Experience in statistical modeling, machine learning, AI
• Excellent presentation skills
• Experience in strategic planning and workflow optimization
• Mentor and coach the broader analytic team and service line operation leaders

Preferred Qualifications

• EPIC certified or experience working with Epic Clarity data
• Experience in Strata or similar decision support system
• Management experience
• Agile experience

Judgement and Leadership

• Leads a team
• Helps develop and implement a solution and/or analytical strategy for the group
• Manage customer relationships, communicating results and recommendations to project sponsors, clients & various senior level audiences
• Guide decision-making through data-driven recommendations