SimWell is a global leader in Simulation, Optimization, and Digital Twin solutions. Our experienced team uses advanced analytics and cutting-edge technology to solve our clients’ most critical business challenges. With a proven track record across multiple industries, we are committed to driving efficiency and innovation worldwide.
At SimWell, we are looking for our next world-class team member, someone who thrives on innovation, consistently exceeds expectations, and takes pride in making things happen. Our solutions span a wide array of industries, including supply chain, mining operations, manufacturing, logistics, warehousing, transit, fast food, healthcare, and beyond.
Come join us as we revolutionize operations worldwide through advanced analytics and cutting-edge digital twin technologies.
100% remote – Monday to Friday – Flexible Schedule – Competitive salary to discuss.
Main tasks and responsibilities
- Ingest, clean, and transform large, fragmented, or messy enterprise datasets into analysis-ready formats.
- Conduct exploratory data analysis to identify patterns, inefficiencies, and cost-saving opportunities across supply chain data.
- Build and maintain data pipelines and ETL workflows to support simulation and optimization of models.
- Collaborate with simulation engineers and consultants to translate data insights into model inputs and scenario parameters.
- Present data findings and visualizations clearly to both technical teams and executive stakeholders.
- Develop and apply statistical and machine learning techniques where appropriate to support decision-making.
- Document data processes, assumptions, and analytical outputs.
Minimum requirements for the position
- This position requires eligibility to obtain and maintain a U.S. government security clearance. Due to the nature of the work and applicable government requirements, applicants must be U.S. citizens.
- Strong proficiency in Python and/or SQL for data wrangling, analysis, and data pipeline development
- Experience working with large, messy, or fragmented enterprise datasets
- Ability to identify patterns, bottlenecks, and cost-saving opportunities from raw operational data
- Experience in supply chain, logistics, or defense/government data environments a plus
- Exposure to simulation or optimization workflows a plus
- Strong written and verbal communication; able to present insights to leadership
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
Benefits
- 100% Remote – Work from home
- Unlimited Flex Time
- Flexible hours
- Competitive salary
- Continuous education
- Medical, Vision, & Dental
Skills Required
- Strong proficiency in Python and/or SQL for data wrangling, analysis, and data pipeline development
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field
- Experience working with large, messy, or fragmented enterprise datasets
- Ability to identify patterns, bottlenecks, and cost-saving opportunities from raw operational data
- Experience in supply chain, logistics, or defense/government data environments a plus
- Exposure to simulation or optimization workflows a plus
What We Do
SimWell is a global decision intelligence firm that provides advanced analytics, simulation, optimization, and digital twin technology. They help organizations across industries like supply chain, manufacturing, mining, and healthcare to solve complex operational challenges and improve decision-making efficiency. By leveraging AI and data science, they enable clients to test scenarios in risk-free environments, ultimately driving better performance and operational outcomes.
