Principal Statistician/Data Scientist

About the position

Become part of an inclusive organization with over 40,000 diverse employees, whose mission is to improve the health and well-being of the unique communities we serve. Principal Data Scientists are premier experts within UNC Health Care's Enterprise Analytics and Data Sciences organization regarding applying advanced analytical methods to improve health care delivery, cost, quality, and outcomes. Data Scientists use data science and software engineering techniques to create and deploy unique and innovative advanced analytics solutions that deliver actionable information to stakeholders with a high degree of impact. Principal Data Scientist is a part of the Data Science job family within UNC Healthcare. Experience and exposure to Deep Learning models, Generative AI and Responsible AI framework would be preferred.

Responsibilities

• Leads the design, execution, and interpretation of data/analytic studies - including sample size calculations, statistical methods selection, population profiling, segmentation, model development/tuning, and other analytical tasks.
• Leads full lifecycle development activities for designing, building, and maintaining analytical solutions.
• Works with Data Science Leadership and Analytics leaders to identify and prioritize stakeholder needs and perspectives.
• Designs and develops enterprise-class, advanced analytic models to understand and solve complex business problems.
• Creates models by analyzing large data sets from various sources and processes.
• Serves as analytics insights advisor to the Stakeholders, Analytics leaders, and other partners.
• Establishes scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation.
• Ensures consistent, meaningful reporting and output formatting across all deliverables.
• Drafts and presents analytic proposals, designs, and solutions to client stakeholders.
• Interfaces with relevant stakeholders to assist in lifecycle activities such as requirements gathering, research activities, and solution architecture and design.
• Authors analytic 'stories' through data visualization and other information display techniques.
• Designs insight-driven metrics for analyses, scorecards, and other communication mediums.
• Documents statistical methodology, analysis, and interpretation for technical reports and publications.
• Cultivates understanding and knowledge of applicable healthcare domain(s) to translate needs and opportunities into conceptual, analytic, and technical designs.

Requirements

• Master's degree in Statistics, Biostatistics, Economics, Computer Science, Information Systems Management or a quantitative-related field.
• If a Master's degree: Seven (7) years of relevant experience.
• If a Doctorate degree: Five (5) years of relevant experience.
• If a Bachelor's degree: Requires nine (9) years of relevant experience.
• Prior experience with R, SAS or SPSS, other data mining tools, databases, and computer programming.
• Theoretical fluency and working proficiency in the application of a broad array of statistical and quantitative methods.
• Superior computer skills are required, with knowledge in relevant software packages and languages such as SAS, R, Python, SQL, Java, and .NET.
• High proficiency in SQL Query programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and grouping.
• Track record in the development and delivery of analytical projects for customers.
• Ability to work independently in a fast-paced environment.
• Excellent project management, planning, communication, documentation, organizational, analytical and problem solving abilities.
• Ability to interpret and summarize results of various analyses in a timely and meaningful way.
• Ability to communicate clearly and effectively to convey technical and business value propositions to non-technical audiences.

Nice-to-haves

• Experience and exposure to Deep Learning models, Generative AI and Responsible AI framework.

Benefits

• 401k
• health_insurance
• dental_insurance
• vision_insurance
• life_insurance
• disability_insurance
• paid_holidays
• paid_volunteer_time
• tuition_reimbursement
• professional_development