Principal Data Science Analyst

Mayo Clinic•Rochester, MN

3d•$148,137 - $214,700

About The Position

Mayo Clinic is a top-ranked healthcare provider dedicated to patient needs and employee well-being, offering competitive compensation and comprehensive benefits. This role involves analyzing large, heterogeneous datasets to uncover patterns and insights impacting patient health and augmenting human capabilities. The ideal candidate will possess deep expertise in AI, machine learning, deep learning, statistical data processing, and various mathematical theories underlying data analysis. A strong understanding of healthcare data types, topics, and scientific challenges is essential. The position requires collaboration with internal teams and external partners to develop and deploy AI and analytic solutions for non-technical users, often at the point of care. Responsibilities include designing and developing scripts/software for data management, extraction, analysis, and AI, as well as developing predictive and prescriptive models. The role may involve leading scientific projects and potentially supervising direct and indirect reports.

Requirements

A Master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field.
A minimum of five years of professional or research experience in data science.
Deep expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods and the mathematical theories underlying these tools used to analyze data.
Deep knowledge of healthcare data types, topics, and scientific challenges and approaches.
Technical and business background/experience.
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.
Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.).
Ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes.
Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills.
Exceptional time management.
Excellent analytical skills.
Consulting skills.
Ability to identify and recommend solutions.
Advanced computer application skills.
A commitment to customer service.
Experience with data modeling and date exploration tools.

Nice To Haves

A PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field.
A minimum of three years of professional or research experience in data science and statistical/machine learning packages.
Demonstrated ability to provide consultative services at an institutional or enterprise level to departments/divisions and committees from any Mayo entity requesting assistance.

Responsibilities

Provides 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.
Develops predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining.
Makes presentations on assigned projects or proposals.
Conducts advanced data analysis and designs highly complex algorithm systems.
Functions independently and initiates judgment in handling delegated responsibilities.
Experience leading technical/quantitative teams.
Develops experimental design approaches to validate findings or test hypotheses.
Identifies/creates the appropriate algorithm to discover patterns.
Leads and directs the interpretation of data analysis and writing reports.