Mayo Clinic→
Associate Data Science Analyst - Hematology at Mayo Clinic · Rochester
Entry LevelHybridFull-timeRochester, MN$77k–$115k/yr
Skills
data analysisstatistical modelingmachine learningdata miningdata visualizationpredictive modelingcustomer service
Job Description
Summary: Mayo Clinic is a top-ranked healthcare provider dedicated to putting the needs of patients first. They are seeking an Associate Data Science Analyst to utilize data analysis, data mining, and visualization skills to support projects under close supervision, contributing to data insights for business problems and assisting in report writing.
Responsibilities:
- Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data
- Has basic expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches
- Executes analytical procedures in the framework of a specific project work request
- Modifies scripts or software applications to support data management, data extraction and data analysis as required
- Contributes to the interpretation of data analysis and to writing reports
- May help customers understand the data set and provide training and suggestions for improvement on the data request
- Leverages communication and interpersonal skills and works with subject matter experts
- Presents findings in easy to understand terms for the business or clinical practice
Required Qualifications:
- 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
Preferred Qualifications:
- Ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques, is preferred
Required Skills: Data analysis, Statistical modeling, Machine learning
Important Skills: Data mining, Data visualization, Predictive modeling
Nice-to-Have Skills: Customer service
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., Retirement: Competitive retirement package to secure your future.
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.
Retirement: Competitive retirement package to secure your future.