Mayo Clinic · 9 hours ago

Principal Data Science Analyst

Rochester, MN

Full-time

Remote

Senior Level

$142K/yr - $205K/yr

5+ years exp

Maximize your interview chances

BiotechnologyHealth Care

No H1B

Insider Connection @Mayo Clinic

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceMachine LearningStatistical TechniquesPredictive ModelingPrescriptive ModelingDeep LearningStatistical Data ProcessingData MiningHealthcare Data KnowledgeScientific ComputingData Management PackagesProject ManagementData ModelingData Exploration Tools

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.

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

Exceptional time management is required.

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.