Data Scientist (ROI focus) C2H preferred

At Divurgent, we employ real people on our Team, not just “resources.” We firmly believe our Team is the driving force behind our successes, and because of that, we are solidly focused on evaluation, maintaining, and improving upon the Divurgent culture by integrating our ELITE Values into everything we do. Culture is the SINGLE most important component we have. We want our employees, recruits, clients, prospects, and even our competitors to feel it and believe it! Appreciating and supporting our Team Members—the people behind our success—is at the core of Divurgent’s values, mission, and goals. In addition to our Financial, Health and Wellness, and Community and Culture benefits, we offer team coffee breaks and happy hours, a book club, a grill master competition, March Madness events, a Divurgent Pets group, and team engagement programs – true testaments to the value our Team holds for Divurgent. If you have a passion for healthcare and are excited about your career and joining a TEAM, Divurgent is the place for you. We are always looking for qualified, culture-friendly candidates to join our professional and somewhat quirky family.

Contract To Hire Preferred

Must have Healthcare exp w/ ROI tracking

Covid Vaccination & Booster Required

No 3rd Parties

The Data Scientist will drive the success of Client’s AI/ML initiatives by developing clear and quantifiable metrics that demonstrate their return on investment (ROI). This individual will collaborate with clinical, operational, and technical stakeholders to ensure each AI/ML solution aligns with organizational goals and delivers measurable improvements in patient outcomes, operational efficiency, and cost-savings.

Essential Job Functions

Define and Track ROI Metrics

• Develop standardized frameworks to quantify the performance and ROI of AI/ML projects across various healthcare domains
• Establish baselines, targets, and monitoring processes to measure project impact that help guide ongoing investment decisions
  
  

AI/ML Performance Evaluation

• Construct and maintain robust performance dashboards and reports highlighting AI/ML model accuracy, precision, recall, and other project-specific metrics such as operational effectiveness, cost savings, and patient outcomes
• Analyze model performance and operational metrics to identify trends, anomalies, and areas of improvement
• Work closely with other data scientists and the software engineering team to drive the implementation of model retraining, adjustments, and fixes as needed
  
  

Data Analysis and Dashboard and Report Development

• Utilize programming languages like Python and SQL to build and maintain production-level code necessary for defining and tracking ROI and AI/ML performance metrics
• Create data exploration, cleaning, transformation scripts as necessary to support defining robust metrics applicable to each AI/ML projects across diverse healthcare data sources (e.g., EHR data, claims data, patient outcomes)
• Employ statistical techniques necessary to draw conclusions about AI/ML solution effectiveness and evaluate the tangible benefits of AI/ML projects in the areas of patient care quality, cost reduction, and operational efficiency
  
  

Cross-Functional Collaboration

• Partner with clinicians, administrators, IT professionals, and executive leadership to identify pain points where AI/ML can drive high-impact solutions
• Communicate technical findings and ROI implications to both technical and non-technical stakeholders
• Collaborate with teams to integrate data science solutions into existing workflows and measure post-implementation success
  
  

Continuous Improvement

• Stay current with emerging trends in machine learning and healthcare analytics, recommending enhancements to data science and ROI tracking methodologies
• Actively contribute to the growth and development of data science team culture by sharing best practices
  
  

Education, Knowledge, Skills, And Abilities Required

Education & Technical Expertise

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field
• Expertise with Python and SQL for data manipulation, statistical analysis, and AI/ML model evaluation
• Expertise in building dashboards in tools like Tableau or Looker Studio
• Proficiency in machine learning algorithms, statistical modeling, and performance evaluation
  
  

Healthcare Knowledge

• Familiarity with electronic health records (EHR) systems, healthcare data structures, and relevant industry standards (e.g., HIPAA)
• Understanding of key healthcare metrics (e.g., readmission rates, hospital-acquired conditions, length of stay)
  
  

Analytical And Problem-Solving Skills

• Proven track record of designing and tracking clear ROI metrics for AI/ML initiatives
• Experience extracting insights from large and complex datasets
• Ability to identify critical issues, propose data-driven solutions, and measure outcomes
  
  

Communication and Stakeholder Engagement

• Strong communication skills to articulate complex technical concepts to varied audiences
• Demonstrated ability to influence and build relationships across clinical, operational, and technical teams
  
  

Education, Knowledge, Skills, And Abilities Preferred

• Master’s degree or PhD in Data Science, Biomedical Informatics, or related field
• Experience with the Google Cloud Platform, git, GitHub, Docker
• Experience building dashboards in Looker Studio
• In-depth knowledge of Python statistical analysis tools and frameworks
• Familiarity with the Epic Clarity data model
  
  

Licenses And Certifications Required/Preferred

• Required: None specific to this position, although the individual must maintain compliance with regulatory standards
• Preferred: Epic Clarity clinical data model certification; any Google Cloud Platform certifications
  
  

Soft Skills

• Excellent organizational skills and attention to detail
• Ability to work autonomously while fostering a collaborative team environment
• Strong sense of ownership, accountability, and drive to innovate
• Proactive, solutions-oriented mindset with a focus on measurable outcomes
  
  

Our Team: Divurgent is a solutions provider focused on what matters most to our client partners. We disrupt the typical value equation by using data-infused, flexible, and scalable solutions that demonstrate and quantify value for our partners. We are committed to IT evolution, deploying tailored solutions that help our client partners achieve improved operational effectiveness, financial performance, and quality of customer experience. Our ELITE Values – Excellence, Learning, Innovation, Trust, Enthusiasm – drive us to be and do more to redefine healthcare consulting, transforming healthcare for our clients and the communities they serve. We are passionate about providing innovative solutions that offer our clients the opportunity to improve customer experiences and enhance operational efficiencies. Staying true to our values, mission, and our vision of a passionate Team has given us the tools to be a successful firm both externally and internally, growing both as a company and as a Team. Our Mission: Your partner in digital acceleration. Our Vision: Advisory firm of choice for leading healthcare organizations and talent.