Associate Data Science Analyst - Cardiology AI

Mayo Clinic • Rochester, MN

23h

About The Position

Utilizes data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills. Supports projects under close supervision of senior data analysts or data scientists. Executes analytical procedures in the framework of specific project work requests. Modifies scripts or software applications to support data management, data extraction, and data analysis as required. Contributes to the interpretation of data analysis and writing reports. Helps customers understand the data set and provides training and suggestions for improvement on data requests. Presents findings in easy-to-understand terms for business or clinical practice.

Requirements

• Bachelor’s degree in a domain-relevant field such as engineering, mathematics, computer science, statistics, physics, data science, health science, or other analytical/quantitative field.
• Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) is required.
• Incumbent must stay current on healthcare trends and enterprise changes.
• Interpersonal skills and time management skills are required.
• Requires strong analytical skills and a commitment to customer service.

Nice To Haves

• Experience in Python, SQL, and pandas.
• Exceptional organizational skills.
• Artificial Intelligence (AI) experience.
• Ability to develop predictive models using advanced statistical modeling, machine learning, or data mining techniques.

Responsibilities

• Utilizes data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills.
• Supports projects under close supervision of senior data analysts or data scientists.
• Executes analytical procedures in the framework of specific project work requests.
• Modifies scripts or software applications to support data management, data extraction, and data analysis as required.
• Contributes to the interpretation of data analysis and writing reports.
• Helps customers understand the data set and provides training and suggestions for improvement on data requests.
• Presents findings in easy-to-understand terms for business or clinical practice.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level