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Machine Learning Scientist Jobs in Minneapolis, MN

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

Strong foundation in machine learning, statistical thinking, and/or analytical problem-solving ... Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a ...

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All JobsMachine Learning Scientist JobsMachine Learning Scientist Jobs in Minneapolis, MN

Machine Learning Scientist information

See Minneapolis, MN salary details

$79.2K

$143.6K

$201.2K

How much do machine learning scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning scientist in Minneapolis, MN is $143,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,558.00 and $159,857.00 per year, depending on experience, location, and employer.

What is a machine learning scientist?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What does a machine learning scientist do?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What skills and qualifications are needed to be a machine learning scientist?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

Is machine learning a high paying job?

Machine Learning Scientists typically earn high salaries due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python and TensorFlow. Salaries vary by industry, experience, and location but are generally above average compared to many other tech roles.

What are the most commonly searched types of Machine Learning Scientist jobs in Minneapolis, MN?

The most popular types of Machine Learning Scientist jobs in Minneapolis, MN are:

What are popular job titles related to Machine Learning Scientist jobs in Minneapolis, MN?

For Machine Learning Scientist jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Scientist jobs in Minneapolis, MN look for?

The top searched job categories for Machine Learning Scientist jobs in Minneapolis, MN are:

Machine Learning Scientist jobs near you
Infographic showing various Machine Learning Scientist job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $143,638 per year, or $69.1 per hour.

Staff Development Engineer IV - Engineering Data Scientist and Digital Twin Specialist

Daikin Applied

Plymouth, MN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!
Staff Development Engineer IV - Engineering Data Scientist & Digital Twin Specialist- Plymouth, MN - Hybrid
Daikin Applied is seeking an Engineering Data Scientist & Digital Twin Specialist with a strong focus on Reduced Order Modeling (ROM). In this role, you will bridge the gap between high-fidelity 3D physic-based (FEA/CFD), 1D system performance simulations, lab, and real-time operational data. You will build, validate, and deploy fast-running surrogate models and hybrid digital twins that power predictive maintenance, real-time edge analytics, and automated design optimization for our physical assets and systems.
Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!
Location: Hybrid - Plymouth, MN
Your Responsibilities:
  • Reduced Order Modeling (ROM): Develop, calibrate, and validate ROMs from complex 3D/multiphysics simulations (e.g., thermal, structural, fluid dynamics) to accelerate computation speeds by orders of magnitude without losing fidelity.
  • Hybrid Digital Twin Development: Design and implement hybrid digital twins that combine first-principles physical models with machine learning/AI (physics-informed neural networks, surrogate modeling) to mirror real-world asset behavior.
  • Data Integration & Pipelines: Ingest, clean, and utilize high-frequency time-series telemetry and IoT sensor data from physical machinery/assets to continuously update and retrain digital models.
  • Deployment & Scaling: Package and deploy ROMs into production environments, cloud platforms, or real-time edge devices using platforms like Ansys Twin Builder, Siemens Simcenter, or custom Python/C++ frameworks.
  • Cross-Functional Collaboration: Work tightly with domain engineers, software developers, and data engineers to integrate digital twin frameworks into broader enterprise architectures and PLM.
  • Model Validation: Conduct rigorous regression testing, scenario analysis, and test-data correlation to ensure numerical stability and accuracy against physical counterparts.

Your Qualifications:
  • Master's or Ph.D. in Mechanical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, Data Science, or a related technical discipline
  • 6+ years of industry/research experience in applied machine learning, scientific computing, or physics-based simulation
  • Proven track record of building and deploying Reduced Order Models (ROMs) (e.g., Proper Orthogonal Decomposition (POD), Dynamic Mode Decomposition (DMD), or machine learning surrogates like Gaussian Processes and neural networks)
  • Advanced proficiency in Python (NumPy, PyTorch/TensorFlow, Scikit-learn) and/or C++
  • Familiarity with engineering simulation software suites (e.g., Ansys Twin Builder, Siemens Simcenter, MATLAB/Simulink, or OpenFOAM/FEA tools)
  • Experience with time-series databases, IoT data streams (MQTT, OPC UA), and containerization (Docker, Kubernetes) for model deployment
  • Strong understanding of physical principles (dynamics, thermodynamics, heat transfer, structures, or fluid mechanics) alongside statistical modeling and machine learning
  • Strong communication and presentation skills, with the ability to clearly convey technical concepts to both technical and non-technical audiences
  • Demonstrated ability to lead technical project teams and mentor engineers
  • Knowledge of systems engineering and architecture principles
  • Demonstrated ability to work independently and drive collaboration in a cross-functional, globally distributed environment
  • Understanding of model reuse, simulation governance, and lifecycle management concepts
  • Track record of leading cross-disciplinary simulation initiatives or shaping organizational modeling strategy

Your Preferred Qualifications:
  • Experience with MiL and HiL simulation workflows
  • Experience with machine learning, data analytics, or AI-assisted modeling and automation
  • Background in experimental data acquisition and validation of simulation models using test data
  • Experience with physics-informed machine learning (PINMs) or geometric deep learning
  • Exposure to industrial IoT platforms or 3D real-time visualization frameworks (NVIDIA Omniverse, Unity/Unreal)
  • Knowledge of Model-Based Systems Engineering (MBSE) methodologies
  • Deep understanding of thermodynamic cycle modeling, HVAC&R systems, fluid mechanics, heat transfer fundamentals, oil circulation effects, and both steady-state and dynamic system behavior
  • Extensive experience developing, calibrating, and troubleshooting complex model libraries, parameter databases, and calibration routines

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 $109,100 - $188,700 plus a 15% bonus in Minnesota. The range displayed represents the pay range for all positions in the job grade which these positions fall. 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!

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