Principal Data Science Analyst - Pioneering Science

About the role

The ideal candidate will be a Data Scientist at Mayo Clinic, performing detailed analysis of large bodies of heterogeneous data to enhance patient health and augment human capabilities. They will work closely with knowledge architects, informaticians, and clinicians to develop and deploy AI and analytic solutions to non-technical users, 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, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining.
• Provide consultative services at an enterprise level to departments/divisions and/or may lead scientific projects.
• Provide deep data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
• Make presentations on assigned projects or proposals.
• Conduct advanced data analysis and design highly complex algorithm systems.
• Function independently and initiate judgment in handling delegated responsibilities.
• Lead and direct the interpretation of data analysis and write reports.

Qualifications

• A master’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field with a minimum of five years of professional or research experience in data science.
• A PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field with a minimum of three years of professional or research experience in data science and statistical/machine learning packages.
• Strong technical and business background/experience along with strong leadership skills.
• Good written and oral communication skills.
• Deep expertise in the use of scientific computing and data management packages.
• Ability to prioritize, organize, and delegate various tasks on projects.
• Demonstrated initiative in administration, education (seminars, training), software development, and technical reports.
• Demonstrated success in project management and communication skills.
• Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques.
• Experience leading technical/quantitative teams.
• Identifies/creates the appropriate algorithm to discover patterns.
• Leads and directs the interpretation of data analysis and writing reports.

Benefits

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retail Retirement: Competitive retirement package to secure your future.