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Data Scientist Machine Learning Jobs in Minnesota

RELX Group plc

Senior Data Scientist III

Minneapolis, MN · On-site

$115K - $192K/yr

You would apply machine learning and AI technologies to execute analytical and statistical projects ... If you are a curious and collaborative data scientist who thrives in an innovative environment ...

Accelint

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/yr

The Data Scientist will apply knowledge of statistics, machine learning, programming, and data modeling. They use a flexible, analytical approach to design, develop, and evaluate predictive models ...

RELX

Data Scientist

Minneapolis, MN · On-site

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

General Mills

Sr. Data Scientist

Minneapolis, MN

$110K - $184K/yr

As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced ...

General Mills

Sr. Data Scientist

Minneapolis, MN · On-site

$110K - $184K/yr

As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced ...

Cargill

Senior Data Scientist

Wayzata, MN

$148K/yr

... Machine Learning (AI/ML) platforms, such as Amazon SageMaker, SAP IBP, and a custom time series ... manage data science initiatives in food supply chain planning, including scoping, development ...

Cargill

Senior Data Scientist

Wayzata, MN

$148K/yr

... Machine Learning (AI/ML) platforms, such as Amazon SageMaker, SAP IBP, and a custom time series ... manage data science initiatives in food supply chain planning, including scoping, development ...

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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 Jul 17, 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, 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 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, with an average salary of $120,211 per year, or $57.8 per hour.
Senior Data Scientist III

Senior Data Scientist III

RELX Group plc

Minneapolis, MN • On-site

$115K - $192K/yr

Full-time

Posted 4 days ago

Job description

LexisNexis Risk Solutions
We develop industry-leading solutions that are pro-people, anti-fraud and abuse, and anti-crime to enable frictionless digital government. LexisNexis Risk Solutions cares about our world, and we would love for you to join our team if you want to help solve meaningful problems too
https://risk.lexisnexis.com
About the Role:
Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and cross-functional team of data scientists, product managers, strategists, and engineers. You would apply machine learning and AI technologies to execute analytical and statistical projects supporting all levels of government in civilian services, public health, and public safety. To successfully fulfill this position, you must be eager to learn with experience in data wrangling, data mining, statistical methods, modeling, machine learning, prompt engineering and generative AI techniques. You will support product development, research, and prototyping assignments. If you are a curious and collaborative data scientist who thrives in an innovative environment, then we would like to hear from you.
Responsibilities:
  • Must be a US Citizen or Greencard holder
  • Independently scope, execute and lead small scale projects. Independently execute for more complex projects.
  • Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and statistical measurements.
  • Extract, clean and design large and complex datasets to support analysis and product deliveries. Apply statistical techniques to conduct analytic research, build statistical models and complete prototypes.
  • Assist in creation of crime data vectorization, similarity measures, and clustering.
  • Assist in architecting generative AI features and conduct prompt engineering for customer facing AI tools.
  • Assist in communicating analytic conclusions to both analytic and non-analytic stakeholders.
  • Collaborate with cross-functional teams including fraud and crime analysts, product management, project management and technologists to execute projects.

Required Qualifications:
Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of relevant work experience. Or a Master's Degree in related field and 5+ years of relevant work experience.
Skills and Competencies:
  • This person needs to be inside the US boundaries to work on the projects based on necessary compliance.
  • Proficient user of Python, SQL, Pandas, and NumPy.
  • Competent user of Java.
  • Demonstrates proficiencies in Data Science and Machine Learning frameworks. Experience with Generative AI, OpenAI, Copilot, and Claude.
  • Skilled in processing and manipulating large data sets including merging, slicing, sorting, constructing new features.
  • Strong documentation, written and verbal communication skills.
  • Strong interpersonal skills to be able to interface effectively with a broad range of contacts; from technical staff to management.
  • Organized with the ability to handle multiple concurrent activities.
  • Self-starter and eager to learn.
  • Demonstrates leadership within small teams.
  • Detail oriented and critical thinker with strong analytical thinking skills.
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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