Remote Operations Research Analyst – United States – Turn Complex Data into Strategic Advantage

Join a forward‑thinking analytics team that transforms massive data sets into actionable insights for high‑impact business decisions. This fully remote position offers the freedom to work from anywhere in the U.S. while collaborating with cross‑functional leaders who value rigorous modeling and innovative problem solving.

About the Role

As a Remote Operations Research Analyst, you will design, develop, and deploy quantitative models that optimize supply‑chain networks, workforce scheduling, and resource allocation. You will partner with product managers, engineers, and executives to translate business challenges into mathematical formulations, run simulations, and deliver clear recommendations that drive measurable ROI.

Key Responsibilities

• Formulate linear, integer, and stochastic programming models to solve large‑scale operational problems.
• Build and maintain simulation engines (Monte Carlo, discrete‑event) for scenario analysis.
• Integrate models into production pipelines using Python, Julia, or R, leveraging libraries such as PuLP, OR‑Tools, or Gurobi.
• Conduct sensitivity and what‑if analyses to quantify risk and guide strategic planning.
• Present findings to non‑technical stakeholders through dashboards (Tableau, Power BI) and concise executive summaries.
• Stay current on emerging OR techniques—reinforcement learning, column generation, decomposition methods—and evaluate their applicability.

Requirements

Education & Experience

• Master’s degree (or Ph.D.) in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a closely related field.
• 3+ years of professional experience building optimization or simulation models in a business environment.

Technical Skills

• Proficiency in Python (NumPy, pandas, SciPy) or Julia for model development.
• Hands‑on experience with commercial solvers (Gurobi, CPLEX, Xpress) and open‑source alternatives.
• Strong SQL skills for data extraction from data warehouses (Snowflake, Redshift, BigQuery).
• Familiarity with version control (Git), CI/CD pipelines, and containerization (Docker).
• Ability to create interactive visualizations and dashboards for stakeholder consumption.

Soft Skills

• Exceptional analytical thinking and a knack for translating ambiguous business questions into precise mathematical statements.
• Clear written and verbal communication; comfortable presenting to both technical and executive audiences.
• Self‑directed, organized, and able to thrive in an asynchronous, distributed team culture.

Preferred Qualifications

• Experience with cloud‑based optimization services (AWS Optimization, Azure Quantum, Google OR‑Tools on Cloud Run).
• Background in supply‑chain, logistics, or revenue management domains.
• Publications or conference presentations in operations research or analytics.

Benefits

• Competitive salary with annual performance bonus.
• Comprehensive health, dental, and vision coverage for you and dependents.
• 401(k) match up to 5 %.
• Generous paid time off, including a “recharge” week each year.
• $2,500 annual learning stipend for courses, certifications, or conferences.
• Home‑office setup allowance ($1,200) and monthly internet reimbursement.
• Access to a curated library of OR textbooks, solver licenses, and cloud compute credits.

Culture & Remote Work

Our team operates on a “trust‑first” philosophy: outcomes matter more than hours logged. We hold a weekly virtual stand‑up, a bi‑weekly deep‑dive seminar, and quarterly in‑person gatherings (optional) to strengthen connections. Collaboration tools include Slack, Notion, and Miro, ensuring seamless knowledge sharing across time zones.

Salary Range

Estimated compensation: $85,000 – $115,000 USD per year, commensurate with experience, education, and geographic cost‑of‑living adjustments.