Remote Operations Research Analyst – U.S. Based – Unlock Data‑Driven Strategy

Join a forward‑thinking analytics team that turns complex data into actionable insights for high‑impact projects. This fully remote position lets you shape optimization models from anywhere in the United States while collaborating with cross‑functional leaders.

About the Role

As a Remote Operations Research Analyst, you will design, develop, and deploy mathematical models that solve real‑world logistics, supply‑chain, and resource‑allocation challenges. You’ll work closely with product managers, engineers, and business stakeholders to translate business problems into quantitative frameworks, then deliver scalable solutions that drive measurable ROI.

Key Responsibilities

• Formulate linear, integer, and stochastic programming models for scheduling, routing, and inventory optimization.
• Implement algorithms in Python, R, or Julia; integrate with cloud‑based data pipelines (AWS, GCP, Azure).
• Conduct sensitivity analysis and scenario planning to support strategic decision‑making.
• Present findings through clear visualizations and executive‑ready reports.
• Mentor junior analysts and contribute to the continuous improvement of the analytics toolkit.

Requirements

Education & Experience

• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related quantitative field.
• 3+ years of professional experience building and deploying optimization models in a business environment.

Technical Skills

• Proficiency with modeling languages (AMPL, GAMS, Pyomo) and solvers (Gurobi, CPLEX, Xpress, HiGHS).
• Strong programming ability in Python (NumPy, SciPy, pandas) or R; familiarity with version control (Git) and CI/CD pipelines.
• Experience with big‑data platforms (Spark, Snowflake, BigQuery) and relational databases (PostgreSQL, SQL Server).

Soft Skills

• Excellent communication – ability to translate technical results for non‑technical audiences.
• Problem‑solving mindset with a track record of delivering projects on time and within scope.
• Self‑directed, thriving in an asynchronous, distributed team culture.

Preferred Qualifications

• Publications or conference presentations in operations research or analytics.
• Certification in Six Sigma, PMP, or related process‑improvement methodologies.
• Domain expertise in healthcare logistics, e‑commerce fulfillment, or energy grid optimization.

Salary Range

$95,000 – $130,000 USD per year, commensurate with experience and geographic cost‑of‑living adjustments.

Benefits

• 100% remote work with a $1,200 annual home‑office stipend.
• Comprehensive health, dental, and vision coverage for you and dependents.
• 401(k) match up to 5% plus profit‑sharing contributions.
• Unlimited PTO, paid holidays, and a dedicated “learning week” each quarter.
• Access to premium data‑science platforms, cloud credits, and professional‑development budgets.

Company Culture

Our team values curiosity, transparency, and impact. We operate on a trust‑based model—no micromanagement, just clear objectives and the autonomy to achieve them. Weekly virtual coffee chats, quarterly hackathons, and an active Slack community keep us connected across time zones.

How to Succeed in This Role

Success means turning ambiguous business questions into precise, solvable models and delivering solutions that stakeholders can act on immediately. You’ll thrive if you enjoy iterative experimentation, love clean code, and relish the challenge of scaling algorithms from prototype to production.