67 applicants

Company

Mayo Clinic · 1 day ago

Principal Data Science Analyst - Remote

Rochester, MN

Full-time

Remote

Senior Level

$142K/yr - $205K/yr

5+ years exp

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Responsibilities

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities.

Work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.

Designs and develops scripts or software applications to support data management, data extraction, data analysis, and AI as required.

This position may develop predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining.

Provides Consultative Services at an enterprise level to departments/divisions and/or may lead scientific projects.

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.

Qualification

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Data ScienceMachine LearningStatistical TechniquesPredictive ModelingDeep LearningData MiningStatistical PackagesHealthcare Data KnowledgeData Management PackagesData ModelingAnalytical ToolsProblem-Solving MethodologiesProject Management

Required

A Master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of five years of professional or research experience in data science

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.) required.

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.

Good written and oral communication skills are required.

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.

Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required.

Exceptional time management is required.

In addition, requires excellent analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service.

Experience with data modeling and date exploration tools.

Preferred

The preferred candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and 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 is preferred.