Remote Operations Research Analyst – Drive Data‑Powered Decisions from Anywhere

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Are you passionate about turning complex data into actionable insight? Our client, a leader in logistics technology, is seeking a Remote Operations Research Analyst who thrives on solving real‑world optimization problems while enjoying the flexibility of a fully‑remote work environment.

About the Role

As a Remote Operations Research Analyst, you will partner with product managers, engineers, and senior leadership to design, develop, and deploy mathematical models that improve operational efficiency across the company’s global network. Your work will directly influence routing algorithms, inventory policies, and resource allocation strategies, delivering measurable cost savings and service improvements.

Key Responsibilities

• Develop and validate optimization, simulation, and stochastic models using Python, R, Julia, or similar languages.
• Collaborate with cross‑functional teams to translate business problems into quantitative frameworks.
• Analyze large data sets (SQL, BigQuery, Snowflake) to extract parameters, test assumptions, and refine models.
• Produce clear, concise documentation and visualizations (Tableau, PowerBI, D3) for non‑technical stakeholders.
• Implement models into production pipelines using APIs, cloud services (AWS, GCP), or containerized environments.
• Monitor model performance post‑deployment and iterate based on real‑time feedback.

Required Skills & Experience

• Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field.
• 3+ years of professional experience building and deploying optimization or simulation models.
• Proficiency in at least one programming language for scientific computing (Python, R, Julia, MATLAB).
• Strong foundation in linear programming, integer programming, network flows, queuing theory, or Monte‑Carlo simulation.
• Experience with data‑engineering tools (SQL, NoSQL, ETL processes) and cloud platforms (AWS, GCP, Azure).
• Excellent communication skills – ability to explain complex concepts to executives and frontline staff alike.
• Self‑starter mindset with proven success working independently in a fully remote setting.

Preferred Qualifications

• Ph.D. in a quantitative discipline.
• Hands‑on experience with OR‑Tools, Gurobi, CPLEX, or other commercial solvers.
• Familiarity with Agile/Scrum development cycles.
• Background in logistics, supply chain, or transportation industries.

Salary & Compensation

Salary Range: $75,000 – $95,000 USD per year, commensurate with experience and expertise.

In addition to the base salary, the role includes an annual performance bonus, equity participation, and a comprehensive benefits package.

Benefits & Perks

• 100% remote work – complete flexibility to set your own schedule.
• Competitive health, dental, and vision coverage.
• Generous paid time off (PTO) and company‑wide holidays.
• Home office stipend for ergonomic furniture and tech accessories.
• Professional development budget for conferences, certifications, and online courses.
• Wellness program featuring virtual fitness classes and mental‑health resources.
• Collaborative virtual culture with weekly team stand‑ups, quarterly virtual retreats, and mentorship programs.

Why This Remote Opportunity Stands Out

Our client believes that talent is location‑agnostic. You’ll join a high‑performing, globally distributed team that values results over hours logged. With cutting‑edge tools, a clear pathway for career growth, and a culture that celebrates data‑driven impact, you’ll have everything you need to thrive as a remote Operations Research Analyst.

How to Apply

If you’re ready to leverage your analytical expertise to shape the future of logistics while enjoying the freedom of remote work, submit your resume and a brief cover letter outlining a recent project where your model delivered tangible business value.

Equal Opportunity Employer

We are committed to building a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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