Note: The job is a remote job and is open to candidates in USA. Mayo Clinic is a leading healthcare provider dedicated to improving patient health through advanced care, research, and technology. The Data Science Analyst analyzes structured and unstructured data, develops predictive models, creates or modifies software and scripts, and delivers data-driven insights and solutions to business and clinical stakeholders.
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 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
- Creates or 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
- Helps 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
Skills
- A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative
- A minimum of three years of professional or research experience in data science
- Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes
- Interpersonal skills and time management skills
- Strong analytical skills and the ability to identify and recommend solutions
- Advanced computer application skills
- Commitment to customer service
- Master's degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field
- A minimum of one year of professional or research experience in data
- Demonstrated ability to develop predictive models 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, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.)
- Experience with data modeling and data exploration tools
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.
- Remote worker: 100% remote work
- Continuing education and advancement opportunities at every turn
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