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How much do remote simio jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for remote simio in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Simio Simulation Modeler working remotely, and why are they important?

To thrive as a remote Simio Simulation Modeler, you need strong analytical skills, expertise in process modeling, and a background in industrial engineering or a related field. Proficiency with Simio simulation software, knowledge of data analysis tools like Excel or SQL, and sometimes certification in simulation modeling are typically required. Effective communication, self-motivation, and time management are important soft skills for collaborating with teams and clients remotely. These skills ensure accurate simulation models, smooth remote collaboration, and successful project delivery in distributed environments.

What are Remote Simio jobs?

Remote Simio jobs involve using Simio, a simulation modeling software, to create and analyze models for various systems such as manufacturing, logistics, or healthcare remotely. Professionals in these roles design simulation models, perform data analysis, and provide recommendations to improve business processes, all while working from a remote location. These jobs typically require proficiency in Simio software, strong analytical skills, and experience in operations research or industrial engineering. Remote Simio roles are ideal for those who prefer flexible work arrangements and have the ability to collaborate virtually with teams and clients.

What are some common challenges faced by Remote Simio Modelers, and how can they be addressed?

Remote Simio Modelers often encounter challenges such as limited direct access to on-site processes or stakeholders, which can make it harder to gather accurate data and validate simulation models. Effective communication becomes crucial, requiring regular virtual meetings and clear documentation to bridge the distance. Modelers can overcome these challenges by leveraging collaboration tools, maintaining proactive communication with project teams, and making use of remote desktop software for model demonstrations and feedback sessions. Building strong relationships with on-site contacts also helps ensure smoother data collection and process understanding.

What is the difference between Remote Simio vs Remote Data Analyst?

AspectRemote SimioRemote Data Analyst
Required CredentialsSimulation software knowledge, technical skillsStatistical, analytical, and data management skills
Work EnvironmentRemote, often technical or engineering settingsRemote, business or research environments
Industry UsageManufacturing, logistics, healthcareFinance, marketing, healthcare

Remote Simio and Remote Data Analyst roles both often require technical skills and can be performed remotely. While Remote Simio focuses on simulation modeling and technical software expertise, Remote Data Analysts analyze data to inform business decisions. Both roles are in high demand across various industries, but they serve different functions within organizations.

More about Remote Simio jobs
What cities are hiring for Remote Simio jobs? Cities with the most Remote Simio job openings:
What are the most commonly searched types of Simio jobs? The most popular types of Simio jobs are:
What states have the most Remote Simio jobs? States with the most job openings for Remote Simio jobs include:
What job categories do people searching Remote Simio jobs look for? The top searched job categories for Remote Simio jobs are:
Remote Simio jobs near you
Infographic showing various Remote Simio job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 8% Part Time, and 20% Contract. Highlights an 42% Physical, 3% Hybrid, and 55% Remote job distribution, with an average salary of $68,000 per year, or $32.7 per hour.
Principal Decision Scientist, Applied Optimization and Simulation 2026 - US (Remote)

Principal Decision Scientist, Applied Optimization and Simulation 2026 - US (Remote)

Aimpoint Digital

Atlanta, GA • Remote

Full-time

Posted 5 days ago

Job description

Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision science, data engineering and infrastructure. This position is within our Decision Science practice which focuses on delivering solutions via optimization, simulation techniques, machine learning, and statistical modelling.

What you will do

As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with all levels of the client organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. A Principal Decision Scientist will define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives. You will proactively research and apply knowledge within the data science space to deliver best-in-class solutions. You will lead both small and large teams over the entire data science lifecycle from problem definition to model automation and deployment. As a Principal, you will be expected to provide technical leadership to guide development work across teams while also owning and delivering specific technical components yourself. A Principal Decision Scientist will also manage all aspects of client relationships and create value-driving initiatives for the company.

Who we are looking for

We are looking for collaborative individuals who want to drive value, work in a fast-paced environment, and solve real business problems. You are a coder who writes efficient and optimized code. You are a problem-solver who can deliver simple, elegant solutions as well as cutting-edge solutions that regardless of complexity, your clients can understand, implement, and maintain. You genuinely think about the end-to-end solution pipeline as you generate robust solutions. You are both a teacher and a student as we enable our clients, upskill our teammates, and learn from one another. You want to drive impact for your clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment.

  • MS/PhD in Operations Research, Industrial Engineering, Computer Science, Mathematics, Engineering, or other STEM-related field
  • Strong theoretical knowledge of optimization techniques, including linear programming and integer programming and/or dynamic programming and graph theory
  • Proficiency in a programming language such as Python, and/or proficiency in an optimization platform, AIMMS/AMPL/GAMS/Pyomo
  • Practical experience with open-source solvers and commercial solvers, such as Gurobi, CPLEX or XPRESS
  • Experienced in simulation techniques and tools such as Arena, Simio, Anylogic, JaamSim or Simpy
  • Familiar with a broad spectrum of advanced data science techniques, from cutting edge deep learning to time series and natural language processing
  • Experience delivering end-to-end data science projects, starting with project plan, through data modelling & data integrity checks to delivering value with explainable results
  • Strong analytical and problem-solving skills
  • 5+ years of practical data science experience
  • 5+ years of consulting experience (preferred)
  • Self-starter with excellent communication skills, able to work independently and collaboratively, and lead projects, initiatives, and/or people
  • Familiar with data visualization platforms such as PowerBI, Tableau or Sigma
  • Knowledge of any of the following tools is a plus: Databricks, Snowflake, Dataiku, AWS, Sagemaker
  • Oil and gas industry experience is a plus

We are actively seeking candidates for full-time, remote work within the US. Atlanta-based applicants will have the opportunity to work in our headquarters in Sandy Springs, GA.