Senior Data Science Analyst

This is a hybrid position, and must be located within 100 miles of the Rochester, MN campus 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 advanced 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 and the mathematical theories underlying these tools used to analyze data.

Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches. 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 large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques.

May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist. Other

• Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
• Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
• Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
• Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
• Leads the interpretation of data analysis and writing reports. This position is not eligible for visa sponsorship/we will not transfer or sponsor a visa for this position. Also, Mayo Clinic DOES NOT participate in the F1 STEM OPT extension program. “During the selection process you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview, a question will appear on your screen, and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question – Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member, and you will be notified of next steps.” Qualifications A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science and at least 12 graduate level semester hours in domain-relevant sciences or seven years or more of data science and AI experience. The preferred candidate will possess a PhD or Master’s degree with one year experience 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. The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills. 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. Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance is preferred. 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. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Strong interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Strong time management skills also are required. In addition, requires strong 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. Application

CV/Resume UNOFFICAL, OR OFFICAL COLLEGE TRANSCRIPTS and for foreign education you will be asked to provide a detailed equivalency evaluation to include US equivalent degree at the applicants expense. For international/foreign trained applicants, it is the responsibility of the international/foreign to provide to Mayo Clinic the following information. The applicant is responsible for the cost associated with obtaining the equivalency evaluation.

International transcript: MUST have a DETAILED equivalency evaluation MUST show US equivalent degree Evaluation MUST be completed from an organization listed as a member of the National Association of Credential Evaluation Services (NACES) www.naces.org OR the Association of International Credential Evaluators, Inc. (AICE) www.aice-eval.org

• Full time 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