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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.
  • Individuals hired to this position are required to complete 2 years in this position before becoming eligible to transfer to other positions within Mayo Clinic**

Data Science Analyst

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 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.

Additional Qualifications

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 date exploration tools.

Sr. Data Science Analyst

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.

Additional Qualifications

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.

  • This position is not eligible for visa sponsorship with the exception of the TN visa classification; Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program**

ALL MUST be included for your application to be considered:

  • CV/Resume
  • Cover Letter
  • Transcripts (unofficial copy accepted)
  • Internal candidates must provide their past performance appraisals.

For international/foreign trained applicants, it is the responsibility of the applicant to provide Mayo Clinic the following transcript information in your application:

  • MUST have a DETAILED equivalency evaluation

The applicant is responsible for the cost associated with obtaining the 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

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.

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Confirmed 18 hours ago. Posted 8 days ago.

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