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Data Scientist Machine Learning Jobs in Minnesota

Varsity Tutors

Machine Learning Tutor

Edina, MN · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Minneapolis, MN · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Saint Paul, MN · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

RELX

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis ... Build and deploy machine learning models using R, Python, SAS, and SQL. * Develop cloud-based ...

Cargill

Senior AI/Data Scientist (MSP)

Wayzata, MN · On-site

$105K - $160K/yr

The Senior AI & Data Science job plans and leads the development of artificial intelligence models ... Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Minnesota

Data Scientist Machine Learning information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do data scientist machine learning jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data scientist machine learning 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.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is ML a high paying job?

Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for expertise in machine learning and data analysis.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require advanced analytical skills, domain expertise, and the ability to interpret complex models. Jobs that involve creative thinking, emotional intelligence, and tasks requiring human judgment—such as healthcare professionals, educators, and skilled trades—are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Minnesota? The most popular types of Data Scientist Machine Learning jobs in Minnesota are:
What are popular job titles related to Data Scientist Machine Learning jobs in Minnesota? For Data Scientist Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Minnesota look for? The top searched job categories for Data Scientist Machine Learning jobs in Minnesota are:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Minnesota as of June 2026, with employment types broken down into 82% Full Time, 7% Part Time, and 11% 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.
Senior Machine Learning & Data Science Lead

Senior Machine Learning & Data Science Lead

Insomnia Cookies

Center City, MN

Full-time

Posted 26 days ago

Insomnia Cookies rating

4.9

Company rating: 4.9 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

27th of 43 rated bakeries

Job description

About the Role
Insomnia Cookies is on a mission to sweeten the digital experience through intelligent personalization, predictive insights, and real-time decisioning.
 
We’re looking for a Senior Machine Learning & Data Science Lead who enjoys working hands-on with models, data, and production systems—while collaborating closely with product, engineering, and marketing teams. This role blends applied data science with practical ML engineering to help design, build, and improve AI-powered capabilities across our digital channels and operations.
 
Sweet Position Perks:
• Excellent comprehensive benefits coverage that includes medical, dental, vision & pet insurance plans
• 401K with contribution match
• 3 weeks paid vacation plus 2 paid Insomnia personal wellness days
• Relaxed, fun, come as you are office culture
• Free cookies, branded swag and so much more!
 
What You’ll Do
• Collaborate with teams to design and implement ML models for personalization, recommendations, targeting, and operational improvements.
• Develop predictive and forecasting solutions that use first-party data to support marketing, store operations, and inventory planning.
• Integrate models into production environments, partnering with engineers to ensure scalability, reliability, and maintainability.
• Contribute to experimentation efforts, helping design and analyze A/B tests to measure impact.
• Support ongoing model monitoring and refinement, ensuring quality, fairness, and explainability remain central.
• Work across the business to explore new opportunities where data science and ML can improve customer experience or operational efficiency.
 
What You Bring
• 5+ years in applied ML, data science, or quantitative product roles.
• Experience with recommendation systems, predictive modeling, clustering, and time series forecasting.
• Practical experience deploying models to production (Python, AWS/GCP, APIs).
• Proficiency in SQL and working with large datasets.
• Familiarity with A/B testing and statistical analysis for experimentation.
• Ability to communicate technical concepts clearly to technical and non-technical audiences.
• Bonus: background in eCommerce, QSR, or real-time customer engagement systems.
 
Why This Role Rocks
• Work on a variety of high-impact, customer-facing and operational projects.
• Be part of the early-stage buildout of our AI and ML capabilities.
• Collaborate with multiple teams on initiatives that directly shape digital experiences.
• Join a fast-moving, playful culture that values experimentation and innovation.
 
About us:
Insomnia Cookies was founded in a college dorm room by then-student, Seth Berkowitz. Fast forward 20 years and so... many....cookies... later, our innovative bakery + delivery concept has become a cult brand known for its rabid following of cookie lovers who crave Insomnia’s warm, delicious delivery all day and late into the night. With an expanding footprint of over 300 stores globally, an experiential, “sweet-easy” concept as the brand’s flagship in Philadelphia, Pa. (where Insomnia Cookies is headquartered), and a rapidly-growing nationwide shipping and gifting portfolio... Insomnia Cookies is revolutionizing the cookie game by truly "Imagining What’s Possible"!

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