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Data Science Manager Jobs in Rochester, MN (NOW HIRING)

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Applies and modifies existing scripts or software applications to support data management, data ...

New

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

Applies and modifies existing scripts or software applications to support data management, data ... scientific projects under the supervision of a designated senior level data scientist. Other ...

New

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

Applies and modifies existing scripts or software applications to support data management, data ... scientific projects under the supervision of a designated senior level data scientist. Other ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

New

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Showing results 1-20

Data Science Manager information

See Rochester, MN salary details

$31.5K

$98.7K

$174.8K

How much do data science manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science manager in Rochester, MN is $98,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Rochester, MN?

The most popular types of Data Science jobs in Rochester, MN are:

What job categories do people searching Data Science Manager jobs in Rochester, MN look for?

The top searched job categories for Data Science Manager jobs in Rochester, MN are:

What cities near Rochester, MN are hiring for Data Science Manager jobs?

Cities near Rochester, MN with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Rochester, MN as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $98,747 per year, or $47.5 per hour.

Senior Data Science Analyst

Mayo Clinic

Rochester, MN • On-site

$87K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago

New


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 705 frontline employees who took The Breakroom Quiz

135th of 898 rated healthcare providers


Job description


We are seeking a Senior Data Science Analyst (1.0 FTE). This individual will support the Clinical and Economic Evaluation Program within the Kern Center by leveraging statistical, econometric, and data science techniques to generate evidence on the effectiveness and value of healthcare interventions. This role partners with multidisciplinary teams to translate complex data into insights that improve patient care, healthcare delivery, and policy decisions.
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 advanced 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 and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types, topics, and scientific challenges and approaches.
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 large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.
Other responsibilities:
• Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
• Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
• Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
• Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
• Leads the interpretation of data analysis and writing reports.
This position is hybrid, individual must live within 100 miles driving distance to campus
**This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position.
During the selection process, you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview, a question will appear on your screen, and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question - Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member and you will be notified of next steps.
Qualifications
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.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.
About Us
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.
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.

About the Team
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.
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". Mayo Clinic participates in E-Verify 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.

What Mayo Clinic employees say

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919