Remote Operations Research Analyst – Drive Data‑Powered Decisions for a Growing Tech Leader

Join a forward‑thinking technology company where your analytical expertise will shape product strategy, optimize supply chains, and improve operational efficiency. As a fully remote Operations Research Analyst, you’ll collaborate with cross‑functional teams to build models that turn complex data into actionable insights—all from the comfort of your home office.

About the Role

In this role, you will design, develop, and implement quantitative models to solve pressing business challenges. You’ll work closely with product, engineering, and finance stakeholders to identify improvement opportunities, forecast demand, and evaluate the impact of strategic initiatives. Your work will directly influence decision‑making processes and help the company maintain a competitive edge in a fast‑moving market.

Key Responsibilities

• Formulate and solve optimization problems (linear, integer, nonlinear) using tools such as Gurobi, CPLEX, or open‑source solvers.
• Develop simulation models (discrete‑event, Monte Carlo) to assess system performance under varying conditions.
• Perform statistical analysis and predictive modeling to support forecasting and risk assessment.
• Translate technical findings into clear, concise reports and visualizations for executive audiences.
• Partner with data engineers to ensure data pipelines are robust, reliable, and ready for analytical consumption.
• Continuously monitor model performance and recommend updates based on new data or changing business needs.

Requirements

We’re looking for a candidate who blends strong mathematical foundations with practical problem‑solving skills and a passion for turning data into strategy.

Must‑Have Qualifications

• Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or a related quantitative field.
• 2+ years of experience building and deploying optimization or simulation models in a business environment.
• Proficiency in programming languages such as Python, R, or Julia; experience with SQL for data extraction.
• Familiarity with optimization solvers (Gurobi, CPLEX, GLPK) and simulation software (AnyLogic, Simul8, or similar).
• Strong communication skills—ability to explain complex concepts to non‑technical stakeholders.
• Self‑motivated, detail‑oriented, and comfortable working independently in a remote setting.

Preferred Qualifications

• Experience with machine learning techniques for demand forecasting or anomaly detection.
• Knowledge of supply chain logistics, inventory theory, or revenue management.
• Certifications such as INFORMS CAP, Six Sigma Green Belt, or comparable.
• Exposure to cloud platforms (AWS, Azure, GCP) for model deployment.

Benefits

We believe that great work stems from a supportive and flexible environment. Our remote‑first culture is complemented by a comprehensive benefits package designed to promote health, growth, and work‑life balance.

Compensation & Perks

• Competitive salary range: $78,000 – $102,000 USD per year, adjusted for experience and location.
• Annual performance bonus and equity participation.
• 100% remote work stipend for home office setup and internet expenses.
• Flexible paid time off and company‑observed holidays.
• Comprehensive medical, dental, and vision plans.
• 401(k) with company match.
• Professional development budget for courses, conferences, and certifications.
• Wellness programs including virtual fitness classes and mental‑health resources.

Why You’ll Love Working With Us

• Impact: See your models drive real‑world decisions that affect millions of users.
• Growth: Clear career path with opportunities to lead analytics teams or specialize in advanced optimization.
• Culture: Collaborative, inclusive, and committed to continuous learning.
• Flexibility: Design your own schedule while maintaining core collaboration hours.