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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 (https://jobs.mayoclinic.org/benefits/) – 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.

Benefits Highlights

+ 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.

Responsibilities

Join a world class team that’s transforming the future of healthcare. At Mayo Clinic, Senior Data Science Analysts play a pivotal role in advancing patient care through data driven discovery, cutting edge AI solutions, and meaningful clinical impact. If you’re passionate about solving complex problems and creating technologies that directly improve lives, this is the place for you.

What You’ll Do

As a Mayo Clinic Senior Data Science Analyst, you will:

• **Unlock insights from large, complex, heterogeneous datasets** to support clinical decision making and enhance human capabilities

• **Apply advanced expertise in AI, machine learning, and deep learning** , including regression modeling, neural networks, clustering, pattern recognition, decision trees, and statistical data processing

• **Work hands on with rich healthcare datasets** , leveraging deep knowledge of medical data types, scientific challenges, and analytic approaches

• **Collaborate with multidisciplinary teams** —including knowledge architects, informaticians, clinicians, and external industry partners—to design and deploy AI driven tools for real world use, often at the point of care

• **Develop predictive models** and analytics solutions that address high impact operational, clinical, and research problems

• **Build and enhance data pipelines, scripts, and applications** that support data extraction, management, analysis, and AI deployment

• **Provide consultative expertise** across departments and scientific project teams, with guidance from senior data scientists

• **Lead the interpretation and communication of analytical results** , transforming data insights into actionable recommendations

Key Responsibilities

• Deliver advanced analytics solutions that uncover insights from both structured and unstructured data

• Drive the development of analytical tools and predictive models using AI/ML techniques

• Partner with stakeholders to understand business needs and design solutions aligned with expected outcomes

• Communicate findings through clear, compelling reports that support decision making and strategic planning

Qualifications

• **Bachelor’s degree** in engineering, mathematics, computer science, health science, or a related analytical field

• Plus one of the following:

o At least **12 graduate level semester hours** in domain relevant sciences, **or**

o **Seven or more years** of hands-on experience in data science, AI, or related analytical disciplines

Preferred Qualifications

• **Master’s degree or PhD** in engineering, mathematics, computer science, health science, or another quantitative field

• At least one year of professional or research experience working with data, analytics, or machine learning

What Makes a Strong Candidate

• A blend of technical depth and business acumen, with the ability to translate complex data findings into actionable insights

• Proven leadership skills, with experience guiding projects, mentoring team members, or influencing decision makers

• Excellent communication skills, both written and verbal—capable of telling a compelling story with data

• Advanced proficiency with scientific computing tools, data management packages, and modern analytics technologies

• Strong project management abilities, including prioritizing multiple tasks, delegating effectively, and delivering results on time

• Demonstrated initiative in areas such as education/training, software development, report writing, or data driven process improvement

• Experience developing predictive and prescriptive models on large scale datasets using ML, statistical modeling, or data mining techniques

• Ability to provide consultative analytics support across diverse departments and teams

• Skilled in applying problem solving frameworks, continuous improvement methods, and analytical methodologies

• Strong interpersonal strengths, including presentation, negotiation, collaboration, and stakeholder engagement

• Excellent time management and the ability to adapt to shifting priorities in a fast-paced environment

• Commitment to customer service, with the ability to recommend solutions, support non-technical users, and deliver high quality analytical outcomes

• Experience with data modeling, exploratory data analysis, and modern data exploration tools

Exemption Status

Exempt

Compensation Detail

Compensation range is $122,990.40 - $184,579.20 / Salary. This vacancy is not eligible for sponsorship, and we will not sponsor or transfer visas for this position.

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

Monday - Friday, 8am - 5pm CST. Some on-site travel may be required for retreats or meetings.

Weekend Schedule

As Needed.

International Assignment

No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. (https://jobs.mayoclinic.org/alllocations)

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" (https://www.eeoc.gov/poster) . Mayo Clinic participates in E-Verify (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter

Briana Priniski

Equal opportunity

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.