The Director, Data Science role at naviHealth will report to the VP, Data Science and will be responsible for the design, analysis, and development of naviHealth’s decision support tools using machine learning techniques for prospective analytics and predictive modeling. The colleague will be a key statistics and analytics expert and responsible for developing and implementing innovative approaches and methodologies to develop and support decision support products, and to identify new opportunities for products and services.
Develop and continually advance naviHealth’s decision support tools for clinical workflow, Post-Acute Care management, and related business needs
Employ structured approach to leveraging large data sets to uncover new business insights that will support the evolution of our products and services
Apply demonstrable statistical, machine learning, and business strategy experience to develop and support predictive algorithms and related decision support products
Create examples, prototypes, visualizations or demonstrations to help leadership better understand the work and recommendations
Provide thought leadership, conduct studies, and publish whitepapers and articles in trade and scholarly journals
Collaborate with other business functions such as clinical services, product management, customer implementation to define, prioritize, develop, and implement data science products
Continually monitor and work with stakeholder to gather feedback and identify opportunities for ongoing improvement
Build and manage a Data Science team as determined by business needs and growth opportunities
Establish effective working relationships with all levels of staff and management.
Promote a culture of transparency, communications, and collaboration
Measure and report on performance of Data Science team
Master’s degree in Statistics/Computer Science/Software Engineering; PhD preferred
8+ years’ demonstrable experience developing solutions using machine learning techniques and applied statistical analysis such as regression, classification, clustering, Naïve Bayes, decision forests
Expert-level experience in data science and visualization toolkits such as R, SAS, Tableau
Demonstrable statistical, mathematical, and business strategy skills
Experience with relational, OLTP, SQL, dimensional and OLAP databases and technologies, business intelligence, data warehousing, and ETL database technologies and solutions
Strong project leadership and management skills required; ability to prioritize, plan, and handle multiple tasks/demands simultaneously
Strong written, verbal, and visual communications skills required
Team-first orientation: must thrive in collaborative, team-based work environment.
Experience with staff development and training.
Passion for creating new products that drive significant value for our clients.
Intellectual curiosity and creativity: thrives in developing new ideas and identifying growth opportunities
Strong problem solving, conflict resolution and negotiation skills.
Strong stakeholder engagement skills and detail orientation.
NaviHealth partners with health plans, health systems and post-acute providers to manage the entire continuum of post-acute care. We utilize evidence-based protocols to optimize care and bundled payment methodologies to align all stakeholders. The result: optimized care and outcomes, reduced inpatient days, reduced hospital readmissions, and increased patient satisfaction.
NaviHealth ™ is proud to be an equal opportunity/affirmative action employer. We are committed to attracting, retaining and maximizing the performance of a diverse and inclusive workforce.
Cardinal Health is an Equal Opportunity/Affirmative Action employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex,
sexual orientation, gender identity, national origin, disability, or protected veteran status.
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I started my career as an IT programming analyst and have progressed into management. Cardinal Health provides various training programs to help individuals be successful in their job and grow professionally.
This is a great place to work because the people here strive to make a great difference in healthcare every day.
Gopikrishna, Manager, Software Engineering