Remote Operations Research Analyst – Transform Business Outcomes From Anywhere in the U.S.

Are you a quantitative problem‑solver who thrives on turning complex data into actionable strategies? Our fast‑growing analytics firm is seeking a Remote Operations Research Analyst to power decision‑making for Fortune‑500 clients while enjoying the flexibility of a home‑based career.

Salary Range

$70,000 – $95,000 USD per year (based on experience, education, and proven impact). Competitive bonuses and equity options are also available.

About the Role

As a Remote Operations Research Analyst, you will collaborate with cross‑functional teams to design, model, and optimize processes that drive efficiency and profitability. Your day‑to‑day will involve:

• Developing mathematical models (linear programming, simulation, stochastic processes) to solve real‑world business challenges.
• Analyzing large datasets using Python, R, or MATLAB and translating findings into clear recommendations.
• Creating interactive dashboards and visualizations for senior leadership.
• Presenting insights to clients via video conference, ensuring complex concepts are understandable and actionable.
• Continuously refining algorithms based on performance metrics and feedback.

Key Responsibilities

Model Development & Optimization

• Formulate and solve optimization problems that improve supply‑chain logistics, workforce scheduling, or resource allocation.
• Validate models with historical data and conduct sensitivity analyses.

Data Engineering & Analysis

• Extract, clean, and manipulate data from SQL databases, APIs, and cloud storage.
• Apply statistical techniques to identify trends, outliers, and causal relationships.

Stakeholder Collaboration

• Partner with product managers, engineers, and finance teams to align analytical solutions with business goals.
• Produce concise reports, white‑papers, and presentation decks for both technical and non‑technical audiences.

Requirements

• Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related quantitative field.
• 2+ years of professional experience building optimization or simulation models.
• Proficiency in at least one programming language (Python, R, Julia, or MATLAB) and familiarity with optimization libraries such as CPLEX, Gurobi, or PuLP.
• Strong SQL skills and experience with data‑visualization tools (Tableau, Power BI, or Plotly).
• Excellent communication skills – ability to convey technical concepts to executives and clients.
• Self‑motivated, deadline‑driven, and comfortable working independently in a fully remote environment.

Preferred Qualifications

• Ph.D. or advanced coursework in stochastic processes, game theory, or network optimization.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Background in specific industries such as logistics, telecommunications, or healthcare.

Benefits & Perks

• 100% remote work – set your own schedule and enjoy a healthy work‑life balance.
• Competitive health, dental, and vision insurance plans.
• Generous 401(k) match and quarterly performance bonuses.
• Professional development stipend for certifications, conferences, or advanced coursework.
• Monthly “innovation days” to explore new tools, algorithms, or personal projects.
• Collaborative virtual culture with weekly team‑building activities, mentorship programs, and an open‑door leadership style.

Why Join Us?

Our clients rely on data‑driven insight to stay ahead of the competition, and we empower them with cutting‑edge analytical solutions. As a Remote Operations Research Analyst, you’ll have the autonomy to experiment, the support of a world‑class analytics team, and the opportunity to see your work deliver measurable ROI for industry leaders.

How to Apply

If you’re ready to turn complex data puzzles into strategic victories while working from the comfort of your home office, submit your resume and a brief cover letter highlighting a recent optimization project you led. We look forward to discovering how your expertise can shape the future of our clients’ operations.