Senior Data Science Analyst
About The Position
Data Scientists at Mayo Clinic analyze large, heterogeneous datasets to discover patterns and insights that can improve patient health and augment human capabilities. This role requires advanced expertise in artificial intelligence, machine learning, deep learning, statistical data processing, regression, neural networks, decision trees, clustering, pattern recognition, probability theory, data science methods, and the mathematical theories underlying these methods, along with advanced knowledge of healthcare data and scientific challenges. The analyst may collaborate with knowledge architects, informaticians, clinicians, and external partners to develop and deploy AI and analytics applications for nontechnical users, including at the point of care. The role may involve modifying scripts or software for data management, extraction, analysis, and AI; developing predictive models on large datasets; providing enterprise-level consultation; or supporting scientific projects under a designated senior data scientist. The position provides advanced analytical insights for complex business problems, develops analysis tools and predictive models, takes part in stakeholder discovery to define requirements and outcomes, and leads interpretation of analyses and report writing. The position is hybrid and must be located within 100 miles of Mayo Clinic’s Rochester, Minnesota campus. Visa sponsorship and transfer are not available, and Mayo Clinic does not participate in the F-1 STEM OPT extension program. Applicants must provide a CV or resume and official or unofficial college transcripts. Applicants with foreign education must provide, at their own expense, a detailed U.S. degree equivalency evaluation from an organization that is a member of NACES or AICE.
Requirements
- Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, or health science, plus at least 12 graduate-level semester hours in domain-relevant sciences; alternatively, seven or more years of data science and AI experience.
- Technical and business background or experience, with strong leadership skills.
- Strong written and oral communication skills, including presentation, negotiation, persuasion, and written communications.
- Expertise using scientific computing and data management packages.
- Ability to prioritize, organize, and delegate project tasks.
- Demonstrated initiative in administration, education such as seminars or training, software development, and technical report writing.
- Demonstrated success in project management and communication.
- Demonstrated ability to develop predictive and prescriptive models on large-scale datasets using advanced statistical modeling, machine learning, or data mining techniques.
- Demonstrated application of problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies, including machine learning, statistical packages, and modeling.
- Ability to manage varied workloads and multiple project priorities while staying current on healthcare trends and enterprise changes.
- Strong time-management, analytical, and consulting skills; ability to identify and recommend solutions; advanced computer application skills; and commitment to customer service.
- Experience with data modeling and data exploration tools.
Nice To Haves
- PhD or master’s degree in a relevant field such as engineering, mathematics, computer science, health science, or another analytical or quantitative field.
- At least one year of professional or research experience in data.
- Ability to provide consultative services to departments, divisions, and committees across Mayo Clinic entities.
Responsibilities
- Analyze large, heterogeneous datasets to identify patterns and insights relevant to patient health and human capabilities.
- Work with knowledge architects, informaticians, clinicians, and external partners to develop and deploy AI and analytics applications, including applications for point-of-care use.
- Apply or modify scripts and software applications to support data management, extraction, analysis, and AI.
- Develop predictive and prescriptive models on large-scale datasets using advanced statistical modeling, operations research, machine learning, or data mining techniques.
- Provide consultative services to departments, divisions, committees, or enterprise-level projects, and support scientific projects under a designated senior data scientist.
- Collect, explore, and analyze structured and unstructured data to provide insights for complex business problems.
- Work with staff to develop data analysis tools and predictive models using advanced analytics, artificial intelligence, and machine learning.
- Participate in stakeholder discovery to identify business requirements and expected outcomes.
- Lead the interpretation of data analyses and write reports.
- Manage varied project workloads and priorities, and keep current with healthcare trends and enterprise changes.
Benefits
- Medical plan options
- Dental coverage through Delta Dental or a reimbursement account for flexible coverage
- Vision plan with a national network
- Health Savings Account and Flexible Spending Accounts for eligible expenses
- Competitive retirement package
- Continuing education and advancement opportunities
- Competitive compensation and comprehensive benefit plans
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What This Job Offers
Job Type
Full-time
Career Level
Senior
