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Data Science Jobs in Rochester, MN (NOW HIRING)

Stantec

Lead Wetland Scientist

Rochester, MN · On-site

$73K - $105K/yr

... science. * Willingness to travel (up to 75%) and the ability to work in the field for long hours in adverse weather conditions. * Mapping and data collection applications (Field Maps and Survey123 ...

Mayo Clinic

Neurosurgeon (Spine)

Rochester, MN · On-site

$307K - $843K/yr

A secondary graduate degree or equivalent dedicated training in areas of spinal cord injury, repair or therapeutics, and data science / AI is desirable. Applicants should demonstrate a track-record ...

Mayo Clinic

Neurosurgeon (Spine)

Rochester, MN · On-site

A secondary graduate degree or equivalent dedicated training in areas of spinal cord injury, repair or therapeutics, and data science / AI is desirable. Applicants should demonstrate a track-record ...

Mayo Clinic

Neurosurgeon (Spine)

Rochester, MN · On-site

A secondary graduate degree or equivalent dedicated training in areas of spinal cord injury, repair or therapeutics, and data science / AI is desirable. Applicants should demonstrate a track-record ...

Mayo Clinic

Neurosurgeon (Spine)

Rochester, MN

A secondary graduate degree or equivalent dedicated training in areas of spinal cord injury, repair or therapeutics, and data science / AI is desirable. Applicants should demonstrate a track-record ...

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All JobsData Science JobsData Science Jobs in Rochester, MN

Data Science information

See Rochester, MN salary details

$38.1K

$124.8K

$199.7K

How much do data science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data science in Rochester, MN is $124,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
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 are popular job titles related to Data Science jobs in Rochester, MN? For Data Science jobs in Rochester, MN, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Rochester, MN look for? The top searched job categories for Data Science jobs in Rochester, MN are:
What cities near Rochester, MN are hiring for Data Science jobs? Cities near Rochester, MN with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Rochester, MN as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,763 per year, or $60 per hour.
Senior Financial Analytics Advisor-Remote

Senior Financial Analytics Advisor-Remote

Mayo Clinic

Rochester, MN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago

Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 682 frontline employees who took The Breakroom Quiz

106th of 874 rated healthcare providers

Job description

This position will play an important leadership role in Mayo Clinic Finance's execution of its Digital Strategy. A key component of the Digital Strategy is data, analytics, and reporting. The person in this role should have a passion for data analytics and storytelling as well as a history of delivering innovative Analytics and Reporting solutions within the Finance function in a healthcare setting. 

Success in this role will require the ability to lead and direct analytics projects through all analytics project stages: Business Understanding, Data Understanding, Data Acquisition and Preparation, Visualization/Model Development, Deployment, Maintenance, and Retirement. Preference will be given to candidates with healthcare finance analytics experience.


The successful candidate must be able to bring data analytics projects to successful conclusion by performing analytics solution development as well as guiding fellow team members on task completion. The ability to direct the development of a portfolio of ongoing projects as well as exercise good judgement on when to discontinue analytic projects is also essential.


Key responsibilities for this role include:
Provide thought leadership for designing visual solutions for storytelling using end user visualization tools
Managing the portfolio of analytics and visualization projects under development by their assigned team
Lead or advise large analytics projects through all project stages
Collaborate with other internal Data and Analytics teams to accelerate solution development
Establish best practices related to data analytics and visualization
Train and mentor Finance staff on how to develop analytics and visualization solutions
Guide the development of standardized processes for data acquisition and consumption for analytics and visualization solutions
Build, optimize, and maintain analytical models
Automate and develop reusable, self-service analytical tools and reports

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.
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.

Bachelor's Degree in Accounting, Finance, Business Administration, Data Science, or Computer Science domain or 6-10 years of experience working with data and analytics delivery. 

Demonstrated portfolio of insightful analytics, dashboards, models, or reports representative of 4-7 years of experience with one or more of the following: Epic, Tableau, Power BI, ThoughtSpot, R Studio, Python, Alteryx, and Google Cloud. 

Certification in one or more of the above required.

Advanced knowledge of SQL for data retrieval and knowledge of data modeling 

Experience training Finance staff on visualization and analytics tools, techniques, methods, and best practices

Knowledge of AI/ML model types as a business owner and consumer of models as well is identifying opportunities to leverage AI/ML
 

Additional Experience and/or Qualifications:
Healthcare Finance experience, preferably at an Academic Medical Center, preferred
Knowledge of Epic and/or Clarity data model strongly preferred
Experience with GCP (BigQuery, AutoML, Looker) preferred
Experience with Oracle ERP, EPM, and analytics and reporting tools desired

*This position is a 100% remote work. Individual may live anywhere in the US.
**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.

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

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