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Remote Mathematical Modeling Jobs in Minneapolis, MN

FAVARH

AI Principal Engineer

Minneapolis, MN · On-site +1

This role is fully remote, with no regular in-office requirement. The Contributions You'll Make ... Establish and drive engineering best practices for model evaluation, validation, testing ...

UnitedHealth Group

Architect - Remote

Eden Prairie, MN · On-site +1

$112K - $193K/yr

... model * Broad expertise in .net, Angular, SQL based system & software architecture design patterns Preferred Qualifications: * Advanced degree in Computer Science, Mathematics, or an Engineering ...

UnitedHealth Group

Architect - Remote

Eden Prairie, MN · On-site +1

$112K - $193K/yr

... model * Broad expertise in .net, Angular, SQL based system & software architecture design patterns Preferred Qualifications: * Advanced degree in Computer Science, Mathematics, or an Engineering ...

UnitedHealth Group

Lead AI/ML Engineer - Remote

Eden Prairie, MN · On-site +1

$104K - $137K/yr

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

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Bachelor's degree in computer science, data science, statistics, applied mathematics or related ...

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All JobsMathematical Modeling JobsRemote Mathematical Modeling JobsRemote Mathematical Modeling Jobs in Minneapolis, MN

Remote Mathematical Modeling information

See Minneapolis, MN salary details

$87.2K

$132.6K

$178.5K

How much do remote mathematical modeling jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote mathematical modeling in Minneapolis, MN is $132,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $149,800.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Remote Mathematical Modeling jobs in Minneapolis, MN?

For Remote Mathematical Modeling jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Remote Mathematical Modeling jobs in Minneapolis, MN look for?

The top searched job categories for Remote Mathematical Modeling jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Remote Mathematical Modeling jobs?

Cities near Minneapolis, MN with the most Remote Mathematical Modeling job openings:

Remote Mathematical Modeling jobs near you
Infographic showing various Remote Mathematical Modeling job openings in Minneapolis, MN as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $132,595 per year, or $63.7 per hour.

Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Resource Point LLC

Minneapolis, MN • Remote

Contractor

Re-posted 12 days ago

Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background: 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.