Remote Operations Research Analyst – Remote Job for residents of Texas – Drive Data-Driven Decisions

Join a forward‑thinking analytics team where you’ll build optimization models, improve supply chain efficiency, and turn complex data into actionable insights—all from the comfort of your home. This role blends advanced quantitative methods with real‑world business challenges, offering a chance to make measurable impact while enjoying full remote flexibility.

About the Role

As an Operations Research Analyst, you will partner with cross‑functional stakeholders to design, implement, and refine mathematical models that support strategic decision‑making. You’ll translate business problems into quantitative frameworks, run simulations, and deliver clear recommendations that enhance performance, reduce costs, and drive growth. The position is fully remote, allowing you to collaborate via video conferencing, cloud‑based tools, and shared repositories while maintaining a healthy work‑life balance.

Key Responsibilities

• Develop and maintain optimization, forecasting, and simulation models using Python, R, or specialized OR software.
• Analyze large datasets to identify trends, bottlenecks, and opportunities for process improvement.
• Present findings to technical and non‑technical audiences through visual dashboards and concise reports.
• Collaborate with engineering, finance, and operations teams to integrate model outputs into operational workflows.
• Stay current with emerging OR techniques and advocate for adoption of best practices.

Requirements

• Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, or a related field.
• 2+ years of hands‑on experience building and validating optimization or simulation models.
• Proficiency in programming languages such as Python (NumPy, SciPy, PuLP, Gurobi) or R, and familiarity with SQL.
• Strong analytical thinking, problem‑solving aptitude, and ability to translate technical results into business language.
• Excellent communication skills and comfort working in a distributed, remote environment.
• Preferred: Experience with supply chain, logistics, or revenue management applications.

Benefits

• Competitive salary range: $78,000 – $102,000 USD per year.
• Fully remote work – no relocation required.
• Flexible hours with core collaboration windows to accommodate different time zones.
• Comprehensive health, dental, and vision plans.
• 401(k) with company match.
• Annual learning stipend for conferences, courses, or certifications.
• Generous paid time off and company holidays.
• Wellness program including mental health resources and fitness reimbursements.

What You’ll Achieve

In this role, you will see your analytical work translate into tangible business outcomes, from cutting logistics costs by double‑digit percentages to improving service levels and enabling faster, smarter decision‑making across the enterprise.

• Reduce transportation spend by 10‑15% through network optimization models.
• Increase warehouse throughput by optimizing labor allocation and slotting strategies.
• Improve forecast accuracy, lowering safety stock while maintaining service targets.
• Enable real‑time scenario planning for rapid response to market disruptions.

Tech Stack & Tools

Our analysts leverage a modern, cloud‑native toolkit to build, test, and deploy models at scale.

• Python (pandas, NumPy, SciPy, PuLP, Pyomo) for model development.
• R and tidyverse for statistical analysis and visualization.
• SQL and Snowflake for data extraction and warehousing.
• Docker, Kubernetes, and Airflow for reproducible pipelines.
• Tableau and Power BI for interactive dashboards.

Company Culture & Values

We foster an inclusive, curiosity‑driven environment where diverse perspectives are celebrated, continuous learning is encouraged, and every team member has the opportunity to lead initiatives that shape our future. Remote collaboration is supported by regular virtual coffee chats, hack weeks, and transparent communication channels.