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Data Science Jobs in Minnesota (NOW HIRING)

Sr Data Scientist

Saint Paul, MN · On-site

$118K - $177K/yr

Drive experimentation and delivery of digital AI / data science product innovations aligned to the overall digital product vision. * Work within an agile global resource model, planning for and ...

Drive experimentation and delivery of digital AI / data science product innovations aligned to the overall digital product vision. * Work within an agile global resource model, planning for and ...

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/yr

The ideal candidate has at least 5 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties & Responsibilities * Lead the design ...

We are offering online training on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting ...

They elevate the broader Data Science community through technical mentorship and leadership in AI/ML best practices that accelerate high-quality solution delivery and responsible AI adoption. KEY ...

Product Manager (Data Science)

Medina, MN · On-site +1

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics capabilities by delivering scalable, high-quality data products. Positioned within a centralized IT ...

Product Manager (Data Science)

Medina, MN · On-site

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics capabilities by delivering scalable, high-quality data products. Positioned within a centralized IT ...

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Showing results 1-20

Data Science information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data science in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

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 jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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 are the most commonly searched types of Data Science jobs in Minnesota? The most popular types of Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Data Science jobs? Cities in Minnesota with the most Data Science job openings:
Infographic showing various Data Science job openings in Minnesota as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 9% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,211 per year, or $57.8 per hour.
Sr Data Scientist

Sr Data Scientist

Ecolab

Saint Paul, MN • On-site

$118K - $177K/yr

Full-time

Posted 4 days ago


Ecolab rating

7.5

Company rating: 7.5 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

53rd of 91 rated chemical manufacturers


Job description

Ecolab Digital is seeking an Artificial Intelligence & Analytics - Sr Data Scientist focused AI and Analytics Professional to unlock the value in data assets while creating, maturing, and maintaining unique offerings for customers in the Global Water segment. In this role, you will collaborate with the digital product innovation teams, marketing, sales and engineering counterparts to develop & deliver the advanced analytics pipeline for digital. You will own the execution of revenue generating AI product developments and enhancements required for scaled, outcome-based solution success.
Position Details
  • Location: The desired location for this role is either St. Paul, MN or Naperville, IL with a hybrid schedule.
  • Travel: Up to 10% of the time.

What you will do
  • Identify and define opportunities aligned to Water business challenges, navigating a wide range of problems and solution approaches.
  • Drive experimentation and delivery of digital AI / data science product innovations aligned to the overall digital product vision.
  • Work within an agile global resource model, planning for and delivering against strategically aligned initiatives as a team.
  • Network and collaborate with a broad range of internal business stakeholders to link and translate business strategy / VOC to technical opportunities, innovation build and lifecycle management.
  • Provide clear, consistent communication and presentation to various product stakeholders.
  • Mentor junior data scientists in the organization, fostering their development with hands-on engagement and a team mentality.
  • Utilize an extensive foundation of data science principles, methods, theories, and concepts to bring creativity, quality and technical ownership to the development of new, innovative AI solutions

Minimum Qualifications
  • Bachelors Degree in Data Science, Economics, Math, Statistics or related field with an emphasis on analytics and 6 years of experience in progressive data science roles or Master's degree with 3 years of experience in progressive data science roles
  • 2 years' experience with Python
  • Excellent communication & presentation skills, effectively partnering and delivering results to a broad spectrum of stakeholders
  • Ability to thrive in an ambiguous environment, embracing change and challenging the status quo
  • Proven reasoning in balancing practical business needs and analytics rigor
  • No immigration sponsorship is available for this role at this time.

Preferred Qualifications
  • Experience leading project teams with cross-functional influence
  • Experience with full lifecycle of data science product development
  • Demonstrated interconnected disciplinary knowledge of digital solution development
  • Proficiency in the Microsoft Azure Suite, including Databricks and PowerBI
  • Working knowledge of DevOps, git, Snowflake, and distributed compute platforms
  • Experience in building and scaling intelligent systems leveraging LLMs, embedding pipelines, and agent workflows
  • Proficiency with time series and sensor data
  • Experience in consulting and/or product management
  • Well-developed and proven leadership, strategic thinking, & business acumen

A trusted partner at nearly three million commercial customer locations, Ecolab (ECL) is the global leader in water, hygiene and infection prevention solutions and services. With annual sales of $13 billion and more than 45,000 associates, Ecolab delivers comprehensive solutions, data-driven insights and personalized service to advance food safety, maintain clean and safe environments, optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, hospitality and industrial markets in more than 170 countries around the world.
When you come to work at Ecolab, you get to take on some of the world's most meaningful challenges and have the opportunity to learn and grow, shape your career, make an impact and quickly see the importance of your work.
For more Ecolab news and information, visit www.ecolab.com. Follow us on Twitter @ecolab, Facebook at facebook.com/ecolab, LinkedIn at Ecolab or Instagram at Ecolab Inc
Annual or Hourly Compensation Range
The pay range for this position is $118,100.00 - $177,100.00. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws.
Benefits
Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. Click here to see our benefits.
If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here.
Potential Customer Requirements Notice
To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to:
- Undergo additional background screens and/or drug/alcohol testing for customer credentialing.
- Be fully vaccinated for COVID-19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab.
Americans with Disabilities Act (ADA)
Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.

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About Ecolab

Sourced by ZipRecruiter

Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Saint Paul, MN, US

Year founded

1923