AI Summary / Key Details
- Role: Remote Operations Research Analyst – US-Based – Solve Complex Problems from Anywhere
- Compensation: $25 - $45 / hr
- Location: Remote
- How to apply: Click the Apply Now button on this page to submit your resume.
Recent Activity
We are seeking a data‑driven Operations Research Analyst to design, build, and deploy advanced analytical models that optimize decision‑making across our global product lines. This fully remote role empowers you to turn massive data sets into actionable strategies while enjoying the freedom to work from any U.S. location.
About the Role
As an Operations Research Analyst, you will sit at the intersection of mathematics, computer science, and business strategy. You will collaborate with product managers, engineers, and executive stakeholders to formulate optimization problems, develop scalable algorithms, and validate model performance in production environments. Your work directly influences pricing, supply‑chain efficiency, workforce scheduling, and resource allocation for millions of users.
What You’ll Do
Model Development
Design mixed‑integer programming, stochastic, and heuristic models that address high‑impact operational challenges. Translate business requirements into mathematical formulations and implement them using modern optimization solvers.
Data Analysis & Insight Generation
Explore large, heterogeneous data sets to uncover patterns, validate assumptions, and feed robust parameters into your models. Build automated pipelines for data ingestion, cleaning, and feature engineering.
Stakeholder Collaboration
Present findings and recommendations to non‑technical audiences through clear visualizations and executive summaries. Partner with engineering teams to integrate models into CI/CD pipelines and monitor real‑time performance metrics.
Qualifications & Requirements
Education & Experience
Master’s degree (or Ph.D.) in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related quantitative field. Minimum 3 years of professional experience building and deploying optimization solutions in a commercial setting.
Technical Skills
Proficiency in Python (NumPy, Pandas, SciPy) or Julia; hands‑on experience with commercial solvers such as Gurobi, CPLEX, or Xpress, and open‑source alternatives like OR‑Tools. Strong SQL skills for data extraction; familiarity with version control (Git) and containerization (Docker).
Soft Skills
Exceptional problem‑solving mindset, ability to communicate complex analytical concepts to diverse audiences, and a track record of delivering projects on schedule in a remote, cross‑functional team environment.
Salary Range
$85,000 – $115,000 USD per year, commensurate with experience and geographic differentials.
Benefits & Perks
Health & Wellness
Comprehensive medical, dental, and vision coverage; mental‑health stipend; annual wellness allowance.
Professional Growth
Dedicated learning budget for conferences, certifications, and advanced coursework; mentorship program with senior analytics leaders.
Work‑Life Flexibility
Fully remote schedule with core collaboration hours (10 am–3 pm ET), unlimited PTO, and a home‑office stipend to create your ideal workspace.
Why Join Us?
Our mission is to turn data into decisive action at scale. You’ll join a culture that values intellectual curiosity, rigorous experimentation, and measurable impact. Every model you ship reaches millions of users, giving you a front‑row seat to the tangible results of your analytical craftsmanship—all while enjoying the autonomy of a truly remote workplace.