Data Science Analyst

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. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data. May 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. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required. May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide consultative services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other 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. Qualifications A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered. The preferred candidate will possess a Master’s degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and 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. May provide consultative services to departments/divisions and committees. 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.) required. Incumbent must have 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 are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and data exploration tools. Compensation $99,070.40 - $148,616.00 / year Schedule Part Time – 20 hours per pay period 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. Exemption Status Exempt International Assignment No Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. #J-18808-Ljbffr Mayo Foundation for Medical Education and Research