Remote Simulation Mathematician

Shape the Future of Modeling—From Anywhere

What if your algorithms could redefine how industries forecast risk, optimize performance, or even save lives? As a Simulation Mathematician working fully remote, you’ll take abstract questions and transform them into elegant, actionable models that power real-world breakthroughs. You’ll have the freedom to work where you think best—while your contributions ripple across engineering, research, healthcare, and tech. Every simulation you build is a launchpad for more innovative strategies and bold decisions.

Why This Role Matters

Imagine influencing the trajectory of product development or equipping clinicians with models that anticipate patient needs. In this role, your expertise in mathematical modeling, stochastic processes, and numerical analysis won’t just solve technical challenges—they’ll help organizations predict the unpredictable, seize new opportunities, and future-proof their operations. With a competitive annual salary of $77,369 (fully remote), you’ll have both stability and the scope to keep pushing boundaries.

Your Mission

Can you bring clarity where others see only complexity? Your simulations will become the backbone for critical decision-making—whether it’s optimizing logistics for global supply chains, predicting rare events, or simulating human behavior for product design and development. You’ll partner with engineers, domain specialists, and business leads to ensure your models deliver not just accuracy but measurable impact. Your mathematical insight will guide priorities for teams counting on robust, scalable solutions.

Key Responsibilities

• Build and refine mathematical simulations that tackle real-world uncertainty—from process optimization to risk assessment.
• Collaborate directly with developers, product strategists, and researchers to gather requirements and transform raw data into actionable models.
• Evaluate model performance using sensitivity analysis, Monte Carlo methods, and advanced statistical techniques, iterating until every scenario is accounted for.
• Communicate results and insights clearly, whether you’re presenting to technical stakeholders on a virtual whiteboard or sharing high-level outcomes in a strategic review.
• Translate intricate mathematical frameworks into usable, maintainable code using Python, MATLAB, R, or Julia—always keeping scalability in mind.
• Document each stage of your work in a way that’s transparent, reproducible, and accessible to future collaborators.
• Mentor junior modelers, sharing best practices in simulation design, numerical methods, and computational efficiency.
• Partner with data engineers to ensure simulation inputs are current, reliable, and structured for ongoing analysis.
• Stay on top of the latest research—incorporating new methods, exploring agent-based modeling, and driving continuous improvement across every project.

Who Thrives Here

You love the challenge of turning ambiguity into clarity—and you’re as comfortable diving deep into mathematical theory as you are explaining concepts to non-specialists. You’ve shipped models that I've been deployed at scale, and you can point to real-world results that your simulations enabled. Your curiosity is relentless; you chase better methods, tools, and approaches, not just because you want to be right but because you want your work to matter.

Desired Background

• Advanced degree (MSc, PhD, or equivalent) in mathematics, applied mathematics, statistics, computational science, or a related field.
• Proven expertise in simulation methodologies—think discrete-event, continuous-time, agent-based modeling, or hybrid systems.
• Solid experience translating mathematical models into performant code using Python, MATLAB, R, Julia, or similar languages.
• Deep knowledge of numerical analysis, probability theory, and stochastic processes.
• Experience validating and verifying models with real-world data; you can spot assumptions, test edge cases, and build for robustness.
• Clear communicator: you simplify complex ideas—whether it’s over Zoom or Slack, you’re the person who makes “math talk” accessible and actionable.
• Comfortable working asynchronously—managing your own workflow, giving timely updates, and thriving in a remote-first environment.
• Excitement for exploring new computational methods, from machine learning integration to cloud-based simulation frameworks.

How You’ll Collaborate

We move quickly, but you’ll always have space to focus intensely and do your best thinking. You’ll participate in regular sprint planning sessions with peers across modeling, engineering, and product strategy. Expect collaborative design sessions utilizing tools such as Miro, Jupyter Notebooks, and collaborative code review platforms. You’ll lead the mathematical vision, but you’ll never be working in isolation—your insights will directly shape the priorities of teams that depend on your expertise.

Tools & Technology Stack

• Coding: Python, MATLAB, R, Julia (bonus: familiarity with C++ or Fortran for legacy systems)
• Visualization: Matplotlib, Plotly, Tableau, or similar tools for bringing results to life
• Workflow: Git for version control, Jupyter for prototyping, and cloud resources (AWS, GCP) for scalable simulations
• Collaboration: Zoom, Slack, Notion, and Miro for seamless global teamwork

Growth & Learning

Your growth won’t be linear—it’ll be exponential. You’ll have access to global conferences, journals, and in-house knowledge shares. Want to prototype with a new open-source framework or introduce a next-gen technique? Bring it forward. We empower you to take ownership of your professional development, rather than simply following a checklist.

Our Work Philosophy

We believe deep work drives real progress. We trust you to find your flow, manage your schedule, and deliver excellence without micromanagement. Our culture values inclusion and genuine intellectual curiosity—this is a place where you’re encouraged to ask tough questions, propose bold solutions, and champion fresh ideas. The effects of your simulations will show up every day in how teams make pivotal decisions across the business, product, and operations.

What Success Looks Like

Within your first 90 days, you’ll have shipped at least one model that’s been used to guide a strategic product or operational decision. Over your first year, your simulations will be referenced as “best in class,” and you’ll have elevated how the organization thinks about uncertainty, risk, and data-driven insight.

Ready to Build What’s Next?

If you’re excited by the idea of remote collaboration, real impact, and mathematical challenges that matter—let’s build something purposeful together. If you thrive on transforming ambiguity into strategy and want your work to shape decisions across teams, we’re ready to meet you.