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Sr Data Scientist Jobs in Rochester, MN (NOW HIRING)

Data Science Analyst

Rochester, MN · On-site

$102K - $143K/yr

... senior level data scientist. Other responsibilities: Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from ...

... senior level data scientist. Other responsibilities: Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from ...

... senior level data scientist. Other responsibilities: • Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from ...

... senior level data scientist. Other responsibilities: Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from ...

Nurse Scientist

Rochester, MN · On-site

$117K - $367K/yr

... and data sciences. In 2025, the institution received over $782 million in extramural research ... Mid- and senior career candidates without formal post-doctoral training will be considered on an ...

... and data sciences. In 2025, the institution received over $782 million in extramural research ... Mid- and senior career candidates without formal post-doctoral training will be considered on an ...

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Showing results 1-20

Sr Data Scientist information

See Rochester, MN salary details

$42.2K

$144.8K

$204.3K

How much do sr data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for sr data scientist in Rochester, MN is $144,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $169,200.00 per year, depending on experience, location, and employer.

What does a Sr Data Scientist do?

A Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

What is the difference between Sr Data Scientist vs Data Analyst?

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist?

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.
What are popular job titles related to Sr Data Scientist jobs in Rochester, MN? For Sr Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Sr Data Scientist jobs in Rochester, MN look for? The top searched job categories for Sr Data Scientist jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Sr Data Scientist jobs? Cities near Rochester, MN with the most Sr Data Scientist job openings:
Infographic showing various Sr Data Scientist job openings in Rochester, MN as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $144,810 per year, or $69.6 per hour.

Principal Data Science Analyst - Pioneering Science

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 697 frontline employees who took The Breakroom Quiz

131st of 887 rated healthcare providers


Job description


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 deep 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 deep knowledge of healthcare data types, topics, and scientific challenges and approaches.
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.. Designs and develops scripts or software applications to support data management, data extraction, data analysis, and AI as required. This position may develop predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining. Provides Consultative Services at an enterprise level to departments/divisions and/or may lead scientific projects.
Other responsibilities:
• Provides deep data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
• Develops predictive and prescriptive models to address complex problems, discover insights, and identify opportunities using machine learning, statistical techniques, and data mining.
• Makes presentations on assigned projects or proposals.
• Conducts advanced data analysis and designs highly complex algorithm systems.
• Functions independently and initiates judgment in handling delegated responsibilities.
• Experience leading technical/quantitative teams.
• Develops experimental design approaches to validate findings or test hypotheses.
• Identifies/creates the appropriate algorithm to discover patterns.
• Leads and directs the interpretation of data analysis and writing reports.
Qualifications
A master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of five years of professional or research experience in data science. The preferred candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages.
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. Deep 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 at an institutional or enterprise level 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 independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent 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.
Note: Visa sponsorship will not be available for this position. Must be a U.S. citizen, permanent resident, refugee or asylee.
Qualifications Preferred:
  • Advanced SQL and production-level Python experience.
  • Experience with cloud platforms, such as Google Cloud Platform.
  • Experience developing analytic applications, APIs, or internal tools using sound software engineering practices.
  • Experience building reproducible data pipelines with recurring runs, environment management, audit trails, and evolving data.
  • Direct experience with EHR or clinical research data, including common models, standards, and vocabularies such as Epic Clarity/Caboodle, OMOP, FHIR, ICD-10, CPT, LOINC, RxNorm, or SNOMED.
  • Knowledge of cohort identification, observational study design, survival analysis, clinical prediction modeling, and common sources of bias in real-world data.
  • Practical experience applying NLP or LLMs to clinical or research workflows, including evaluation, validation, and appropriate use of simpler alternatives when warranted.
  • Ability to partner with clinicians and researchers, translate clinical questions into analytic plans, and communicate findings clearly.

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.

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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