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Data Scientist Machine Learning Jobs in Minnesota

System One

Data Scientist

Minneapolis, MN · On-site

System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between ...

System One

Data Scientist

Minneapolis, MN · On-site

System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between ...

System One

Data Scientist

Minneapolis, MN · On-site

System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/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 ...

Tactile Medical

Data Scientist

Minneapolis, MN

... appropriate machine learning and statistical methodologies Translating validated models into ... Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

The Marketing Data Scientist will analyze data to build predictive models that inform commercial ... machine learning and statistical methodologies • Translating validated models into forward ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

Position Summary The Marketing Data Scientist is the predictive intelligence engine of TCMD ... machine learning and statistical methodologies • Translating validated models into forward ...

RELX

Senior Data Scientist III

Minneapolis, MN

$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 ...

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 ...

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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 Aug 6, 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:
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 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.

Senior Data Scientist

ShiftCode Analytics

Saint Paul, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in production-level AI systems, specifically Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). This role will lead the design, development, and deployment of advanced data science and AI solutions that directly impact business performance, clinical workflows, and decision-making.

This is a highly cross-functional role requiring strong technical depth, business acumen, and the ability to operate in regulated environments.

Key Responsibilities

  • Lead the design, development, and deployment of data science and AI/ML solutions, including LLM-powered systems
  • Build and operate production-grade RAG systems, focusing on retrieval quality, orchestration, cost optimization, and observability
  • Develop and implement predictive models and advanced analytics to drive business outcomes (customer experience, revenue, operational efficiency)
  • Mine and analyze large datasets to support product development, clinical insights, and business strategy
  • Develop custom data models, algorithms, and machine learning solutions
  • Evaluate and improve data sources, pipelines, and data quality
  • Collaborate with cross-functional teams (Clinical SMEs, Quality, IT/Security, Product, and Executive stakeholders) to translate business needs into technical solutions
  • Monitor and optimize model performance, ensuring scalability, accuracy, and compliance
  • Support and enhance data infrastructure, including cloud-based environments (AWS/Azure)
  • Ensure data security and compliance, particularly in regulated or post-market environments
  • Contribute to intellectual property and innovation initiatives
  • Mentor junior team members and lead cross-functional projects

Specialized Requirements

  • Hands-on experience building and operating production RAG and LLM systems (not just experimentation or notebook work)
  • Strong understanding of retrieval quality and evaluation, system orchestration and architecture, cost optimization strategies, observability and monitoring of AI systems
  • Experience with evaluation frameworks in complex, high-cardinality classification problems, especially where labels overlap and outputs feed into regulated or clinical workflows
  • Emphasis on SME alignment and error analysis, not just model accuracy
  • Ability to work closely with clinical, quality, and technical stakeholders, translating feedback into system design improvements
  • Strong judgment in communicating trade-offs and risks, particularly in regulated environments

Qualifications

  • Bachelor's degree with 9+ years of experience, or Master's degree with 6+ years of experience
  • Strong expertise in Python, SQL, and machine learning frameworks
  • Experience with vector databases and modern AI architectures
  • Hands-on experience with cloud platforms (AWS and/or Azure)
  • Proven ability to build and deploy scalable data and AI solutions in production environments

Core Competencies

Technical Expertise

  • Deep knowledge of data science, machine learning, and AI/LLM systems
  • Ability to design scalable, production-grade architectures

Business Acumen

  • Understands how data and AI drive business outcomes
  • Aligns technical solutions with organizational goals

Leadership

  • Mentors team members and leads cross-functional initiatives
  • Acts as a subject matter expert

Problem Solving

  • Solves complex, ambiguous problems with innovative approaches
  • Applies critical thinking across multiple data sources and constraints

Communication

  • Clearly explains complex technical concepts to non-technical stakeholders
  • Builds alignment across teams and functions

Quality & Compliance

  • Ensures adherence to all quality systems and regulatory requirements
  • Integrates quality and compliance into all aspects of work
ShiftCode Analytics logo

About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019

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