Data Science Analyst

Role overview

The Data Science Analyst at Mayo Clinic performs detailed analysis of large, heterogeneous data to discover patterns and insights that impact patient health. The role applies AI/ML and data science methods, often partnering with internal clinical and technical stakeholders and external companies.

Responsibilities

• Analyze large bodies of structured and unstructured data to generate insights for business and clinical problems
• Apply and modify scripts/software to support:
  • data management
  • data extraction
  • data analysis
  • AI/analytics solutions
• Develop predictive models using techniques such as:
  • statistical modeling and regression
  • machine learning and data mining
  • operations research
• Collaborate with knowledge architects, informaticians, clinicians, and external partners to build and deploy AI/analytics solutions for nontechnical users (often at the point of care)
• Interpret results and contribute to writing reports
• Present findings in clear, easy-to-understand terms for business/clinical practice
• Help stakeholders understand datasets and provide training and improvement suggestions
• Provide consultative services and/or support scientific projects under guidance of a senior data scientist

Requirements

• Bachelor’s degree in a relevant quantitative/analytical field (e.g., engineering, mathematics, computer science, health science)
• Minimum 3 years of professional or research experience in data science
• Demonstrated ability to develop predictive models using advanced statistical modeling, machine learning, or data mining
• Strong understanding of data science methods and challenges across data types and scientific topics

Nice-to-haves

• Master’s degree or PhD in a relevant field and at least 1 year of professional/research experience
• Experience providing consultative services to departments/divisions and committees