Principal Data Science Analyst - Remote

$141,689 - $205,420/Yr

Mayo Clinic - Rochester, MN

Full-time - Mid Level

Remote - Rochester, MN

Hospitals

About the position

The Data Scientist position at Mayo Clinic involves performing detailed analysis of large and diverse datasets to uncover patterns and insights that can enhance patient health and augment human capabilities. The role requires deep expertise in AI, machine learning, and statistical data processing, along with a strong understanding of healthcare data types and challenges. Data Scientists will collaborate with various stakeholders to develop and deploy applications that provide AI and analytic solutions, often at the point of care.

Responsibilities

• Perform detailed analysis of large bodies of heterogeneous data to discover new patterns and insights impacting patient health.
• Develop predictive and prescriptive models to address complex problems using machine learning and statistical techniques.
• Provide consultative services at an enterprise level to departments and divisions.
• Lead scientific projects and may have direct and indirect reports.
• Conduct advanced data analysis and design complex algorithm systems.
• Make presentations on assigned projects or proposals.
• Develop experimental design approaches to validate findings or test hypotheses.
• Identify and create appropriate algorithms to discover patterns in data.

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.
• Preferred: PhD in a relevant field and a minimum of three years of professional or research 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.

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 data exploration tools.

Benefits

• Competitive compensation
• Comprehensive benefit plans
• Continuing education and advancement opportunities
• Remote work options
• Flexible scheduling