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Remote Mathematical Modeling Jobs in Minnesota (NOW HIRING)

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

  • Retirement

... Mathematics, Statistics, or a related field (or equivalent professional experience) * Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, etc.) for experiment tracking, model registry ...

Lead AI/ML Engineer - Remote

Eden Prairie, MN · Remote

$104K - $137K/yr

  • Retirement

... Mathematics, Statistics, or a related field (or equivalent professional experience) * Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, etc.) for experiment tracking, model registry ...

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

  • Retirement

... Mathematics, Statistics, or a related field (or equivalent professional experience) * Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, etc.) for experiment tracking, model registry ...

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

  • Retirement

... Mathematics, Statistics, or a related field (or equivalent professional experience) * Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, etc.) for experiment tracking, model registry ...

MTSS Support Specialist

Minneapolis, MN · On-site +1

$94K - $105K/yr

  • Medical

  • Dental

  • Life

  • Retirement

... math, and SEL). In addition, the candidate will be up to date with research around effective ... Please note that 100% remote work requires approval prior to offer. All UMN employees are expected ...

Showing results 41-60

Remote Mathematical Modeling information

What are some common challenges faced by remote mathematical modelers, and how can they be addressed?

Remote mathematical modelers often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication regarding model requirements, and managing complex data sets independently. These can be addressed by utilizing collaborative tools like shared code repositories, regular virtual meetings, and clear documentation practices. Additionally, proactively seeking feedback and maintaining open channels of communication with stakeholders can help ensure alignment and successful project outcomes.

What is remote mathematical modeling?

Remote mathematical modeling involves using mathematical equations and computational methods to represent real-world systems or processes, all while working from a location outside of a traditional office environment. Professionals in this field use tools like MATLAB, Python, or R to develop and analyze models for industries such as finance, engineering, healthcare, and environmental science. The remote aspect allows for flexible collaboration with teams worldwide through digital communication platforms. This role typically requires strong analytical skills, problem-solving abilities, and proficiency in mathematical software.

What are the key skills and qualifications needed to thrive as a remote mathematical modeler?

To thrive as a Remote Mathematical Modeler, you need a strong background in mathematics, statistics, and computational modeling, typically supported by a relevant degree such as mathematics, engineering, or physics. Proficiency with technical tools like MATLAB, R, Python, and specialized modeling software, as well as experience with data analysis and simulation platforms, is essential. Strong problem-solving, analytical thinking, and effective written communication skills set top performers apart in this role. These skills are crucial for developing accurate models, interpreting complex data remotely, and delivering clear insights to clients or stakeholders.

What job categories do people searching Remote Mathematical Modeling jobs in Minnesota look for?

The top searched job categories for Remote Mathematical Modeling jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Mathematical Modeling jobs?

Cities in Minnesota with the most Remote Mathematical Modeling job openings:

Principal Physics Consultant - AI Training

micro1 AI

Rochester, MN • Remote

$80 - $160/hr

Part-time

Posted 11 days ago


Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.