Principal Data Science Analyst

$141,689 - $205,420/Yr

Mayo Clinic - Rochester, MN

Full-time - Principal

Remote - Rochester, MN

Hospitals

About the position

The Principal Data Science Analyst at Mayo Clinic is responsible for performing detailed analysis of large and diverse datasets to uncover insights that impact patient health and enhance human capabilities. This role requires deep expertise in AI, machine learning, and statistical data processing, along with the ability to collaborate with various stakeholders to develop and implement AI and analytic solutions. The position involves leading projects, providing consultative services, and developing predictive models to address complex healthcare challenges.

Responsibilities

• Perform detailed analysis of large bodies of heterogeneous data to discover new patterns and insights impacting patient health.
• Develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.
• Design and develop scripts or software applications to support data management, extraction, analysis, and AI.
• Develop predictive and prescriptive models to address complex problems using machine learning and statistical techniques.
• Provide deep data insights for complex business problems using analytics techniques.
• Make presentations on assigned projects or proposals.
• Conduct advanced data analysis and design highly complex algorithm systems.
• Lead and direct the interpretation of data analysis and writing reports.
• Develop experimental design approaches to validate findings or test hypotheses.
• Identify and create appropriate algorithms to discover patterns.

Requirements

• Master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative fields.
• Minimum of five years of professional or research experience in data science.
• PhD in a relevant field is preferred with a minimum of three years of experience in data science and statistical/machine learning packages.
• Strong leadership skills and experience leading technical/quantitative teams.
• Excellent written and oral communication skills.
• Deep expertise in scientific computing and data management packages.
• Ability to prioritize, organize, and delegate tasks on projects.
• Demonstrated success in project management and communication skills.
• Experience developing predictive and prescriptive models on large-scale datasets.

Nice-to-haves

• Experience providing consultative services at an institutional or enterprise level.
• Demonstrated application of problem-solving methodologies and analytical tools.
• Experience with data modeling and exploration tools.

Benefits

• Competitive compensation and comprehensive benefit plans.
• Continuing education and advancement opportunities.
• Remote work options available.