Senior Data Science Analyst

Mayo Clinic • Rochester, MN

2d • $125,444 - $188,260 • Hybrid

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 tools, 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 also involve modifying scripts or software to support data management, extraction, analysis, and AI; developing predictive models for business problems; providing enterprise-level consulting; and supporting scientific projects under a designated senior data scientist. This is a hybrid position requiring the employee to be located within 100 miles of the Rochester, Minnesota campus. The position is not eligible for visa sponsorship or transfer and does not participate in the F-1 STEM OPT extension program.

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.
• Advanced expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, data science methods, and associated mathematical theories.
• Advanced knowledge of healthcare data types, topics, scientific challenges, and approaches.
• Technical and business background or experience, with strong leadership skills.
• Good written and oral communication skills, including presentation, negotiation, persuasion, and written communications.
• Expertise in scientific computing and data management packages.
• Ability to prioritize, organize, and delegate tasks on projects.
• Demonstrated initiative in administration, education such as seminars or training, software development, and technical reports.
• 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, such as machine learning, statistical packages, and modeling.
• 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.
• Must be located within 100 miles of the Rochester, Minnesota campus.
• Application requires a CV or resume and unofficial or official college transcripts. Foreign-educated applicants must provide a detailed equivalency evaluation showing a U.S.-equivalent degree, completed by a NACES-member or AICE-listed organization; the applicant is responsible for the cost.

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, with one year of experience in a relevant field and at least one year of professional or research experience in data.
• Demonstrated ability to provide consultative services to departments, divisions, and committees across Mayo entities.

Responsibilities

• Provide advanced data insights for complex business problems using analytics to collect, explore, and extract insights from structured and unstructured data.
• Work with staff to develop data analysis tools and predictive models using advanced data analysis, artificial intelligence, and machine learning techniques.
• Participate in discovery processes with stakeholders to identify business requirements and expected outcomes.
• Lead the interpretation of data analysis and the writing of reports.
• Analyze large, heterogeneous datasets to discover patterns and insights relevant to patient health and human capabilities.
• Collaborate with knowledge architects, informaticians, clinicians, and external partners to develop and deploy AI and analytic applications for nontechnical users.
• Apply and modify existing scripts or software applications to support data management, data extraction, data analysis, and AI.
• Develop predictive and prescriptive models on large-scale datasets to address business problems using statistical modeling, operations research, machine learning, or data mining techniques.
• Provide consultative services to departments, divisions, or committees across Mayo entities when requested.
• Support scientific projects under the supervision of a designated senior-level data scientist.
• Manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes.
• Prioritize, organize, and delegate project tasks; demonstrate initiative in administration, education, software development, and technical reporting.

Benefits

• Multiple medical plan options.
• Dental coverage through Delta Dental or a reimbursement account for flexible coverage.
• Affordable vision plan with a national network.
• Health savings account and flexible spending accounts for eligible expenses.
• Competitive retirement package.
• Continuing education and advancement opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior