1

Data Science Jobs in Bloomington, MN (NOW HIRING)

Senior Data Scientist

Eagan, MN ยท On-site

$119 - $144/hr

Lead end-to-end data science projects -- from defining the problem and project scope through development, implementation, and delivery. * Investigate specific market outcomes and operational events ...

If you enjoy building innovative solutions that bridge data science and software engineering, thrive in a collaborative environment, and are eager to solve complex challenges, we would like to hear ...

Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics, Data Science, or another quantitative field, or equivalent work experience * Four to six years of relevant experience ...

New

Data Scientist

Minneapolis, MN ยท On-site

$105 - $124/hr

Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics, Data Science, or another quantitative field, or equivalent work experience. * Four to six years of relevant experience.

New

In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our ...

Data Scientist

Minneapolis, MN ยท On-site

$92K - $138K/yr

Minimum of 1-4 years of experience in data science * Proficiency with data mining, predictive modeling, and statistical analysis * Full proficiency in SQL, Python, R, or similar coding languages and ...

Showing results 41-60

Data Science information

See Bloomington, MN salary details

$37.7K

$123.3K

$197.4K

How much do data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science in Bloomington, MN is $123,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $136,700.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

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

What are popular job titles related to Data Science jobs in Bloomington, MN?

For Data Science jobs in Bloomington, MN, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Data Science job openings in Bloomington, MN as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,332 per year, or $59.3 per hour.

Senior Data Scientist

MISO Default Brand

Eagan, MN โ€ข On-site

$119 - $144/hr

Other

Retirement, PTO

Posted 6 days ago


Key responsibilities

  • Work with large and complex datasets to identify trends and anomalies in market operations, participant activity, pricing, supply and demand, and market design.

  • Develop forward-looking and predictive analytics, including building automated alerts, dashboards, and analytical tools to support decision-making.

  • Lead end-to-end data science projects by defining problems, developing solutions, and delivering insights to improve market performance.


Job description

You will work with large and complex datasets to identify trends and anomalies, investigate market and operational outcomes, and develop forward-looking analytics that help MISO better understand what is happening in the market โ€” and what may happen next. You will also partner closely with MISOโ€™s Digital Technology team to move analytics from an idea to a scalable solution, building pipelines, dashboards, alerts, and predictive tools that support better and faster decision-making.

In one year as our Senior Data Scientist โ€“ Market Evaluation, you will know you were successful if you:

  • Use statistical, economic, and advanced data analysis to uncover meaningful patterns in market operations, participant activity, pricing, supply and demand, market anomalies, and market design.
  • Develop forward-looking and predictive analytics that help identify emerging market trends, behaviors, and potential issues.
  • Build automated alerts, dashboards, and analytical tools that flag unusual market outcomes and make complex information easier to understand and act upon.
  • Lead end-to-end data science projects โ€” from defining the problem and project scope through development, implementation, and delivery.
  • Investigate specific market outcomes and operational events using data queries, MISO systems, and simulation tools to identify root causes and evaluate potential scenarios.
  • You contribute to team goals, create useful insights, ask relevant questions, and help identify opportunities to improve market performance

We are looking for someone with:

  • A Bachelorโ€™s degree in Data Science, Economics, Operations Research, or a related field; a Masterโ€™s degree is preferred.
  • At least eight (8) years of relevant experience working with data science, advanced analytics, economic analysis, or related disciplines.
  • Strong programming and analytical experience using tools such as Python, R, SAS, EViews, or VBA.
  • Experience developing machine learning and AI-driven predictive analytics, which may include regression and forecasting, classification and clustering, time-series forecasting, deep learning, natural language processing, and large language models.
  • Experience with common data science and machine learning frameworks such as NumPy, TensorFlow, PyTorch, and Scikit-learn.
  • Experience creating dashboards and data visualization solutions using tools such as Power BI, Tableau, Plotly, or Streamlit.
  • Experience working with cloud platforms and modern software engineering practices, including Azure, AWS, GCP, and Git.
  • Strong knowledge of data management and data engineering, including SQL, NoSQL, ETL processes, and data warehousing.

Even better if you have experience with energy market forecasting and analysis, power system operations, statistical or econometric analysis, electricity market design, or related software development. Previous experience with a Regional Transmission Organization (RTO), Independent System Operator (ISO), utility, or other energy market participant would be especially valuable.

If you enjoy using data science to solve complex, real-world problems โ€” and want your work to help shape the reliability and efficiency of the electric grid โ€” we would love to hear from you!

At MISO, your work helps ensure the reliable operation and continued evolution of one of the world's largest and most complex electric grids. In this role, you'll have an opportunity to help shape how MISO responds to rapidly growing large-load demand while strengthening the connection between where the grid is headed and what it needs to reliably deliver today.

The base salary compensation range being offered for this role is $119,000-$144,000 USDannually. Base salary range for this position is included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, and qualifications/experience.

Position is also eligible for an annual bonus if individual performance and company objectives are met. At MISO we offer a comprehensive benefits package, including 401k, vacation, sick and safe time, available on your first day of employment.

Transformative innovation is happening in the electric industry, from digitalizing homes and distributed resources to renewable energy and an ever-changing grid. MISO manages the electricity superhighway in the Central U.S. Using groundbreaking research and sophisticated technology, our highly skilled employees ensure power flows reliably to 47 million people throughout North America. Operating the electricity grid, running a robust energy market, and planning for a bright future โ€“ itโ€™s what our immensely hard-working and dedicated team does every day.

Join #TeamMISO to be a driving force as we build the grid of the future.

#LI-ONSITE

#LI-MB1

Qualifications Education Required

Bachelors or better in Data Science or related field.

Bachelors or better in Economics or related field.

Experience Required

Strong knowledge of data management and data engineering, including SQL, NoSQL, ETL processes, and data warehousing.

Experience working with cloud platforms and modern software engineering practices, including Azure, AWS, GCP, and Git.

Experience creating dashboards and data visualization solutions using tools such as Power BI, Tableau, Plotly, or Streamlit.

Experience with common data science and machine learning frameworks such as NumPy, TensorFlow, PyTorch, and Scikit-learn.

Experience developing machine learning and AI-driven predictive analytics, which may include regression and forecasting, classification and clustering, time-series forecasting, deep learning, natural language processing, and large language models.

Strong programming and analytical experience using tools such as Python, R, SAS, EViews, or VBA.

8 years:

Relevant experience working with data science, advanced analytics, economic analysis, or related disciplines.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

#J-18808-Ljbffr