Limited Tenure Data Science Analyst - Acosta Program

Mayo ClinicRochester, MN
$99,070 - $148,616

About The Position

Mayo Clinic is a top-ranked healthcare provider dedicated to patient needs and employee well-being, offering competitive compensation, comprehensive benefits, and opportunities for continuing education and career advancement. This role focuses on analyzing large, diverse datasets to uncover patterns and insights that impact patient health and enhance human capabilities. The Data Scientist will collaborate with internal teams and external partners to develop and deploy AI and analytic solutions, potentially bringing them to the point of care. Responsibilities include applying and modifying existing scripts/software for data management, extraction, analysis, and AI, as well as developing predictive models using various statistical and machine learning techniques. The role may also involve providing consultative services and supporting scientific projects under senior guidance.

Requirements

  • A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field.
  • A minimum of three years of professional or research experience in data science.
  • 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.
  • Must be U.S. citizen, permanent resident, refugee or asylee.

Nice To Haves

  • 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.
  • 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.
  • 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.
  • 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.

Responsibilities

  • Perform detailed analysis of large bodies of heterogeneous data to discover new patterns and insights impacting patient health and augmenting human capabilities.
  • Develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care.
  • Apply and modify existing scripts or software applications to support data management, data extraction, data analysis, and AI as required.
  • Develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques.
  • Provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.
  • Provide data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
  • Execute analytical procedures in the framework of a specific project work request.
  • Create or modify scripts or software applications to support data management, data extraction and data analysis as required.
  • Contribute to the interpretation of data analysis and to writing reports.
  • Help customers understand the data set and provide training and suggestions for improvement on the data request.
  • Leverage communication and interpersonal skills and work with subject matter experts.
  • Present findings in easy to understand terms for the business or clinical practice.

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.
  • Continuing education and advancement opportunities.
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