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Data Scientist Machine Learning Jobs in Minnesota

Data Scientist III

Minneapolis, MN ยท On-site

$90K - $153K/yr

Data Scientist III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Scientist III who will ... Create machine learning (ML) models and statistical models to discover trends and detect anomalies ...

Data Scientist III - Plymouth, MN - Onsite Daikin Applied is seeking a Data Scientist III who will ... Create machine learning (ML) models and statistical models to discover trends and detect anomalies ...

Principal Data Scientist

Minneapolis, MN ยท On-site

$146.90 - $245/hr

OVERVIEW The Principal Data Scientist position is a senior technical leader who strategizes enterprise-grade AI solutions, spanning agentic AI, NLP, optimization & machine learning, to unlock ...

The Data Scientist role involves leading predictive modeling and statistical analysis across ... Responsibilities : โ€ข Build and deploy machine learning models using R, Python, SAS, and SQL. โ€ข ...

Responsibilities - Leading the design and development of AI and Machine Learning solutions to ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Showing results 21-40

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 Aug 7, 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?

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.

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.

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:
Infographic showing various Data Scientist Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% 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.

Data Scientist III

Daikinapplied

Minneapolis, MN โ€ข On-site

$90K - $153K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!

Data Scientist III - Plymouth, MN - Onsite

Daikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products and technologies. As the primary technical lead for lab data systems, you will be influential in creating a strategic vision for and providing insights from the laboratory analytics and data.

Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!

Location:Onsite, Plymouth, MN

Your Responsibilities:

  • Develop data automation strategy and roadmap aligned with Digital, Quality, and Engineering teams for enhanced data insights and automation
  • Develop, improve, and publish existing dashboards that track key performance indicators (KPIs) for laboratory operation, identify trends, and support data-driven decision-making for laboratory and quality activities
  • Write, validate, and maintain scripts and queries to automate data collection, standardize formats, and reduce manual reporting effort
  • Create machine learning (ML) models and statistical models to discover trends and detect anomalies in laboratory test data Adapt existing work with changing laboratory and digital softwares
  • Collaborate with Test Engineering, Quality, and Digital teams
  • Maintain and create documentation related to scripts, models, and dashboards
  • Share expertise and provide training to build the competencies of data quality and analytics skills to peers

Your Qualifications:

  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field
  • 5+ years (or 3+ years with a masters) of professional experience in analytics, data science, or a related field
  • Proficiency in Python and SQL for data extraction, transformation, automation, and analysis or equivalent programs
  • Proficiency in Power BI Desktop and Power BI Cloud Services or equivalent business intelligence/data visualization tools
  • Proficient in MS Power Apps and MS Office
  • Experience with databases including data collection, transformation, and storage
  • Experience in creating machine learning (ML) models, statistical models, and anomaly detection
  • Strong verbal/written communication and collaboration skills
  • Ability to multitask

Your Preferred Qualifications:

  • Master's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field
  • Experience in R&D lab, manufacturing, or operations work environment

Your Benefits:

Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:

  • Multiple medical insurance plan options + dental and vision insurance
  • 401K retirement plan with employer match
  • Paid time off and company paid holidays
  • Paid sick time in accordance with the federal, state and local law
  • Tuition Reimbursement after 6 months of continuous service

Work visa sponsorship is not available for this position.

The typical annual base salary for this position ranges from$90,000- $153,300 in Minnesota plus a 10% bonus. The range displayedrepresentsthe pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.

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If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied!