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Statistics Data Science Jobs in Minnesota (NOW HIRING)

Xcel Energy

Principal Data Scientist

Minneapolis, MN · On-site

$129K - $183K/yr

Ensuring statistical integrity, accuracy, and adequacy within the department. * Innovating, exploring, and practicing the art of 'the possible' to uncover valuable data science opportunities and ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ...

Accelint

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/yr

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field. * At least 5 plus years of experience in data science or related discipline. * Experience ...

General Mills

Principal Data Scientist

Minneapolis, MN · On-site

... data science methodologies--including statistical, machine learning, and optimization approaches, ensuring method selection, validation, and implementation are rigorous, fit-for-purpose, and ...

General Mills

Principal Data Scientist

Minneapolis, MN · On-site

Provide technical oversight across core data science methodologies--including statistical, machine learning, and optimization approaches, ensuring method selection, validation, and implementation are ...

General Mills

Principal Data Scientist

Minneapolis, MN · On-site

Provide technical oversight across core data science methodologies-including statistical, machine learning, and optimization approaches, ensuring method selection, validation, and implementation are ...

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All JobsStatistics Data Science JobsStatistics Data Science Jobs in Minnesota

Statistics Data Science information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do statistics data science jobs pay per year?

As of Jun 12, 2026, the average yearly pay for statistics data science in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What jobs can I get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical modeling, often within technology, finance, healthcare, or consulting industries.

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

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What do you do in statistics and data science?

In statistics and data science, professionals analyze data to identify patterns, develop models, and generate insights that inform decision-making. They use tools like Python, R, and SQL, and often work with large datasets, applying techniques such as machine learning, data visualization, and statistical testing to solve complex problems. These roles typically require strong analytical skills and knowledge of statistical methods and programming.

Can you be a data scientist with a statistics degree?

Yes, a statistics degree can provide a strong foundation for a data scientist role, as it covers essential skills like data analysis, probability, and statistical modeling. Data scientists often also need programming skills in languages such as Python or R and experience with data visualization tools and machine learning techniques.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
What are popular job titles related to Statistics Data Science jobs in Minnesota? For Statistics Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in Minnesota look for? The top searched job categories for Statistics Data Science jobs in Minnesota are:
Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in Minnesota as of June 2026, with employment types broken down into 4% As Needed, 42% Full Time, 50% Part Time, 2% Temporary, and 2% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.
Business Analyst / Data Science

Business Analyst / Data Science

SynergisticIT

Minneapolis, MN

Other

Posted 6 days ago

Job description

For more than 14 years Synergisticit has helped Jobseekers stand out from other Jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.
In this market also our candidates get multiple job offers and $100k + salaries.
please check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
All Positions are open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates
For data Science/Machine learning Positions
REQUIRED SKILLS
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Project work on the technologies needed
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow
REQUIRED SKILLS For Java /Full stack/Software Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Project work on the skills
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, Microservices, Docker, Jenkins and REST API's experience
Excellent written and verbal communication skills
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

Apply