Remote Operations Research Analyst | United States | Optimize Systems and Elevate Impact from Anywhere

Drive smarter decisions and scalable growth for a forward-thinking organization while working fully remote. We unite rigorous analytics, advanced modeling, and clear storytelling to turn complex data into confident action across teams and markets. If you thrive at the intersection of math, technology, and business strategy, this role is built for your ambition.

About the Role

As a Remote Operations Research Analyst, you will architect analytical solutions that streamline operations, reduce waste, and accelerate outcomes in a distributed environment. You’ll partner with product, logistics, finance, and engineering leaders to define problems, quantify trade-offs, and implement models that scale across regions and time zones. By translating ambiguity into structured frameworks, you help the organization move faster with fewer costly detours.

Your scope spans forecasting demand, optimizing routing and scheduling, improving inventory flows, and refining resource allocation under uncertainty. You’ll build simulations, conduct sensitivity analyses, and monitor model performance to ensure reliability as conditions evolve. Success here is measured by tangible gains: lower costs, higher throughput, faster delivery, and improved customer experience, all achieved without a physical office.

What You’ll Do

• Formulate mathematical models to optimize planning, scheduling, and capacity across global workflows.
• Clean and integrate large datasets from ERP, CRM, and logistics platforms to fuel robust analyses.
• Develop scenario-planning tools that enable leaders to compare strategies before committing resources.
• Visualize trade-offs and risks through dashboards and narratives tailored to technical and non-technical audiences.
• Collaborate with engineers to deploy models into production pipelines, ensuring repeatability and monitoring.
• Continuously refine algorithms using feedback loops and real-world outcomes to sustain performance gains.

Requirements

We seek a disciplined thinker with a track record of solving operational puzzles using data and models. Comfort with ambiguity, remote collaboration, and iterative delivery is essential. You communicate complexity with clarity and back opinions with evidence.

Core Qualifications

• Bachelor’s degree in Operations Research, Applied Mathematics, Statistics, Industrial Engineering, or a closely related field; advanced degrees are a plus.
• 3+ years of professional experience applying optimization, simulation, or stochastic modeling to business problems.
• Proficiency in Python or R for data manipulation, modeling, and analysis; SQL fluency required.
• Experience with optimization solvers, linear and mixed-integer programming, and heuristic methods.
• Strong understanding of probability, statistical inference, experimental design, and time-series analysis.
• Ability to translate technical results into business recommendations and measurable KPIs.
• Excellent written and verbal communication, with comfort presenting to stakeholders across disciplines.
• Proven capacity to work autonomously in a 100% remote environment while meeting deadlines and quality standards.

Preferred Skills

While not required, these strengths will help you accelerate impact and broaden the team’s toolkit.

• Experience with cloud platforms and containerized model deployments.
• Familiarity with supply chain, network optimization, or revenue management contexts.
• Knowledge of machine learning pipelines and model monitoring best practices.
• Exposure to A/B testing, causal inference, or experimentation frameworks.

Benefits

We invest in your growth, wellbeing, and long-term success with benefits designed for a remote-first lifestyle.

• Competitive compensation aligned with top-tier market rates for analytical talent.
• Comprehensive health, dental, and vision coverage from day one.
• Flexible paid time off and company-wide recharge days to sustain high performance.
• Home office stipend and ongoing technology budget to ensure a productive workspace.
• Professional development fund for courses, certifications, and conference participation.
• Retirement savings plan with employer match to build long-term financial security.
• Inclusive culture with virtual socials, mentorship programs, and clear paths for advancement.

Salary Range

$85,000 – $130,000 USD/year, commensurate with experience, location-based pay factors where applicable, and demonstrated impact. Bonus and equity opportunities may be available based on performance and business results.

Our Commitment to Remote Excellence

We operate as a fully distributed team across the United States, prioritizing outcomes over hours. Clear documentation, intentional meetings, and empathetic communication keep us aligned and energized. You’ll have the autonomy to structure your day around peak focus while collaborating with teammates who value precision, curiosity, and results.

Ready to Solve Hard Problems From Home?

If you’re eager to apply rigorous analysis to real-world operations and see your models move the needle across an entire organization, we want to hear from you. Share your story, your proudest analytical win, and the frameworks you rely on to untangle complexity. We review each submission thoughtfully and respond promptly to qualified candidates who align with our mission and remote culture.