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Data Science Jobs in Rochester, MN (NOW HIRING)

These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks. Our Software ...

New

These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks. Our Software ...

New

These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks. Our Software ...

New

Neurosurgeon (Cranial)

Rochester, MN · On-site

$307K - $843K/yr

... large data science integration in neurosurgery care. A secondary graduate degree is preferrable at the level of a PhD or equivalent, or previously demonstrated success in managing a basic or ...

... large data science integration in neurosurgery care. A secondary graduate degree is preferrable at the level of a PhD or equivalent, or previously demonstrated success in managing a basic or ...

... large data science integration in neurosurgery care. A secondary graduate degree is preferrable at the level of a PhD or equivalent, or previously demonstrated success in managing a basic or ...

Data Engineer

Rochester, MN

$111K - $134K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

... large data science integration in neurosurgery care. A secondary graduate degree is preferrable at the level of a PhD or equivalent, or previously demonstrated success in managing a basic or ...

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Showing results 1-20

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.
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:
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.
Research Scientist - Building Science

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Updated on 01/07/2026
Help advance the Well Living Lab's mission: to expand scientific and practical understanding of how indoor environments and human behavior interact to impact health and well-being. 
  • Lead Research Development - Generate research ideas, design and execute protocols, and write proposals for external grant funding.
  • Data Oversight - Direct data collection, management, and analysis using advanced statistical methods; ensure data quality and integrity.
  • Publication & Communication - Prepare manuscripts, presentations, and reports; publish original research in peer-reviewed journals.
  • Collaboration - Work closely with Mayo Clinic scientists, external research organizations, and industry partners. Serve as a scientific lead or co-lead on Well Living Lab (WLL) projects.
  • Integration & Innovation - Align WLL research with broader health and building science platforms; stay current on literature and emerging trends.
  • Team Engagement - Collaborate daily with multidisciplinary researchers, technology and operations staff, and academic/industry partners.
  • PhD in a field related to the built environment or systems.
  • Minimum 5 years of post-doctoral or equivalent experience in human-centered research within the built environment.
  • Expertise in HVAC and environmental controls/engineering and their impact on human health.
  • Strong background in experimental design, simulation, and data analysis (including large datasets and statistical programming).
  • Proven success in grant writing, IRB submissions, and managing research protocols.
  • Track record of peer-reviewed publications and conference presentations.
  • Experience leading research projects and teams, with excellent organizational and project management skills.
  • Exceptional written and verbal communication skills; ability to collaborate across disciplines with flexibility and a positive attitude.
Bonus points: 
  • Experience managing relationships with academic and industry collaborators.
  • Active involvement in professional organizations (ASHRAE, ASID, AIA, etc.).
  • Knowledge of building science instrumentation (temperature, RH, PM, VOC sensors) and calibration/QA protocols.
  • Familiarity with LabVIEW, MATLAB, or Python for instrument control and data analysis.
  • Ability to interpret and apply building engineering standards (ASHRAE, ASTM, ISO, LEED, WELL).
  • Strong professional network and commitment to staying current on trends in building science, indoor environmental quality, and human-centered design.
Note: This position requires the ability to access U.S. military installations. As a result, employment is contingent upon meeting all applicable federal eligibility requirements, including U.S. citizenship.
  • Medical, Dental & Vision
  • 401(k) Retirement Plan, including employer match (100% vested)
  • Life Insurance (Voluntary Life Insurance and AD&D for employee and dependents)
  • Short-term and long-term disability
  • Health Spending Account (HSA)
  • Commuter Benefits (Pre-Tax)
  • Generous PTO policy
  • Volunteer days off
  • Competitive parental leave policy