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Full Time Data Science Jobs in Minnesota (NOW HIRING)

Senior Data Scientist

Minneapolis, MN · On-site

$108K - $181K/yr

What you will do * Partner with data science leaders, AI engineering teams, and business ... Candidates must be currently authorized to work in the United States on a full-time basis COMPANY ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for designing, developing, testing, and maintaining software applications to provide advanced analytics for ...

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/yr

Senior Data Scientist * Full Time * Onsite/Hybrid Preferred The Senior Data Scientist is responsible for designing, developing, testing, and maintaining software applications to provide advanced ...

Sr. Data Scientist

Minneapolis, MN · On-site

$110K - $184K/yr

Identify and develop long-term data science processes, frameworks, tools, and standards. * Be a ... full-time basis, and General Mills will not sponsor applicants for this position for work visas.

... data science solutions. * Present and defend results to leadership audiences, both technical and ... Employment Type: FULL_TIME

... manage data science initiatives in food supply chain planning, including scoping, development ... Full time employment, Monday - Friday, 40 hours per week, $148,700.24 per year. At Cargill we put ...

... manage data science initiatives in food supply chain planning, including scoping, development ... Full time employment, Monday Friday, 40 hours per week, $148,700.24 per year. At Cargill we put ...

Data Scientist

Minnetonka, MN · On-site

$60K - $107K/yr

The team is a blend of AI/ML engineers, data scientists, data engineers, and GenAI specialists who ... The salary for this role will range from $60,200 to $107,400 annually based on full-time employment.

Data Scientist

Minnetonka, MN · Remote

$60K - $107K/yr

The team is a blend of AI/ML engineers, data scientists, data engineers, and GenAI specialists who ... The salary for this role will range from $60,200 to $107,400 annually based on full-time employment.

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Showing results 1-20

Full Time Data Science information

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and provide strategic insights that require domain expertise and critical thinking. Their skills in programming, statistical analysis, and understanding business context remain essential in leveraging AI effectively.

Is 30 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is generally not a barrier if relevant skills and a strong portfolio are developed.

Is 40 too late for data science?

Full-time data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Are data science jobs still in demand?

Data science jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in programming, statistical analysis, and machine learning tools like Python and R are highly sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What jobs in the US pay 300,000 a year?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and industry expertise. These positions often require advanced degrees, strong programming skills, and leadership responsibilities, typically found in large corporations or tech firms.
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 Full Time Data Science jobs? Cities in Minnesota with the most Full Time Data Science job openings:
Infographic showing various Full Time Data Science job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

General Mills

Minneapolis, MN • On-site, Remote

$108K - $181K/yr

Full-time

Medical, Retirement

Posted 2 days ago

New


General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

61st of 395 rated food and drinks producers


Job description

At General Mills, we make the food the world loves. Behind every great decision is great data, and we are investing in the people, platforms, and AI capabilities that help turn insight into action.

We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and AI solutions across the enterprise. In this role, you will partner with business stakeholders, product owners, and technical teams to identify high-value opportunities, develop scalable machine learning solutions, and build reusable frameworks that strengthen how data science work gets done across General Mills.

This is an exciting opportunity for someone who enjoys both building and influencing: building models, frameworks, and AI-enabled solutions, while also helping teams make smarter, faster, data-driven decisions.

What you will do
  • Partner with data science leaders, AI engineering teams, and business stakeholders to identify, prioritize, and deliver high-impact AI and machine learning use cases
  • Design, prototype, and scale advanced analytics and AI solutions using best-in-class tools and technologies
  • Frame business problems as measurable data science opportunities and translate them into practical, value-focused solutions
  • Build production-ready, reusable, and scalable models that generate timely, actionable insights
  • Work across semi-structured data use cases, including problem framing, data curation, model development, and evaluation
  • Monitor model performance, incorporate stakeholder feedback, and continuously improve solution effectiveness
  • Help define and standardize data science ways of working, including common processes, reusable assets, frameworks, and best practices
  • Communicate recommendations clearly and persuasively, helping partners understand the why behind the work and trust the path forward
  • Contribute to a strong team culture by collaborating, sharing ideas, asking questions, and supporting other data scientists
Why this role stands out
  • You will work on cutting-edge AI initiatives that are already delivering business value
  • You will help build the internal foundations, standards, and reusable frameworks that make AI adoption faster and more effective across the company
Minimum Qualifications
  • 5+ years of experience in data science, decision sciences, or a related quantitative field
  • Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Strong foundation in machine learning, statistical thinking, and/or analytical problem-solving
  • Strong proficiency in Python and SQL
  • Experience working with complex databases and modern data science tooling
  • Ability to spot questionable data, investigate issues, and improve the overall solution
  • Strong communication and stakeholder management skills, with the ability to translate business needs into technical solutions
  • Experience with cloud platforms such as GCP or similar environments
Preferred qualifications
  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
  • Experience building large-scale AI or machine learning models
  • Some experience building AI solutions, including hands-on work with newer AI or agentic capabilities using Python or a similar programming language
  • Experience in operational or commercial business environments
  • Exposure to machine learning engineering practices and coding standards that support scalable, production-minded solutions
A strong fit for this role will bring
  • A balance of deep data science expertise and practical engineering exposure
  • Curiosity about where AI can create value and the discipline to prioritize the right use cases
  • Confidence working with ambiguity and shaping structure where it does not yet exist
  • A collaborative mindset and the ability to influence across technical and non-technical stakeholders
Additional considerations
  • International relocation and international remote working arrangements outside of the United States will not be considered
  • Candidates must be currently authorized to work in the United States on a full-time basis

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.


Salary Range
The salary range for this position is $108900.00 - $181700.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.

Reasonable Accommodation Request
If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request. Qualifications:UNAVAILABLEEducation:UNAVAILABLEEmployment Type: FULL_TIME


What General Mills employees say

Pay

Benefits

Hours and flexibility

Workplace

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About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928