Remote Operations Research Analyst – Remote Job for residents of United States – Drive Data‑Powered Decision Making

Join a forward‑thinking analytics team where your mathematical models directly shape strategy and improve operational efficiency. As a Remote Operations Research Analyst, you will tackle complex business challenges using optimization, simulation, and statistical techniques—all from the comfort of your home office. This role offers a competitive salary, continuous learning opportunities, and the chance to impact decisions that drive growth across the organization.

About the Role

In this position, you will partner with cross‑functional stakeholders to translate business problems into quantitative models. You will design, implement, and validate optimization algorithms, conduct sensitivity analyses, and present actionable insights to leadership. The work spans supply chain logistics, resource allocation, pricing strategy, and process improvement initiatives. You will be expected to stay current with emerging OR methodologies and contribute to a culture of data‑driven decision making.

Key Responsibilities

• Develop and maintain linear, integer, and nonlinear programming models to optimize resource utilization.
• Perform simulation studies (discrete‑event, Monte Carlo) to evaluate system performance under varying conditions.
• Conduct statistical analysis and forecasting to support demand planning and capacity management.
• Prepare clear visualizations and executive summaries that communicate complex findings to non‑technical audiences.
• Collaborate with IT and data engineering teams to ensure models are integrated into production pipelines.
• Mentor junior analysts and share best practices through internal workshops and documentation.

Requirements

We look for candidates who combine strong analytical foundations with practical problem‑solving skills. The ideal candidate will have:

• A Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or a related field.
• At least 3 years of experience building and deploying optimization models in a business environment.
• Proficiency with modeling languages such as GAMS, AMPL, or Python libraries (PuLP, Pyomo, OR‑Tools).
• Solid knowledge of statistical packages (R, SAS, SPSS) and experience with SQL for data extraction.
• Excellent communication skills, with the ability to translate technical results into business recommendations.
• Self‑motivated, detail‑oriented, and comfortable working independently in a remote setting.

Preferred Qualifications

• Experience with machine learning techniques for predictive modeling.
• Familiarity with cloud platforms (AWS, Azure, GCP) for deploying analytical solutions.
• Certification such as INFORMS Certified Analytics Professional (CAP) or Six Sigma Green Belt.
• Background in supply chain, manufacturing, or logistics industries.

Benefits & Perks

We believe that a supportive work environment fuels innovation. Remote employees enjoy:

• Competitive salary range: $78,000 – $102,000 USD per year (based on experience and location).
• Comprehensive health, dental, and vision plans.
• 401(k) matching with immediate vesting.
• Generous paid time off, company holidays, and parental leave.
• Annual professional development budget for courses, conferences, and certifications.
• Flexible work hours and a results‑only work environment.
• Access to cutting‑edge analytics tools and a collaborative virtual workspace.
• Wellness programs, including virtual fitness classes and mental‑health resources.

Company Culture

We foster an inclusive, collaborative atmosphere where curiosity is rewarded and every voice matters. Remote teams connect through regular virtual stand‑ups, knowledge‑sharing sessions, and informal coffee chats that build camaraderie despite the distance. Our leadership encourages experimentation, celebrates learning from failures, and supports continuous growth through mentorship programs and cross‑functional project opportunities.

• Diversity and inclusion initiatives with employee resource groups.
• Quarterly innovation hackathons open to all remote staff.
• Recognition programs that highlight outstanding contributions monthly.
• Flexible parental leave and caregiving support.

What You’ll Achieve

Within the first six months, you will have delivered at least two high‑impact optimization projects that reduce costs or improve service levels. By the end of year one, you will be recognized as a trusted advisor to senior leadership, guiding strategic initiatives with rigorous quantitative analysis. Your work will not only enhance operational performance but also lay the foundation for scalable analytics capabilities across the enterprise.