Experienced Data Scientist – Operations Research & Supply Chain Optimization (Remote)

Posted 2026-05-05
Remote, USA Full-time Immediate Start

Join arenaflex: Redefining the Future of Retail Supply Chain Excellence

Step into a world where your analytical prowess can transform how millions of people shop, receive, and experience retail. At arenaflex, we aren't just building a supply chain—we're architecting the future of global commerce. Our CENTROID organization stands at the forefront of retail innovation, reimagining how products flow from manufacturers to customers' doorsteps through cutting-edge data science, advanced analytics, and strategic thinking that solves the world's most complex logistical challenges at unprecedented scale.

Imagine being part of a team that doesn't just predict the future—we build it. Our experts blend stellar strategic thinking with deep statistical expertise and state-of-the-art analytics to tackle problems that few organizations even attempt to solve. We operate at a scale that few companies in the world can match, and we need brilliant minds like yours to help us push the boundaries of what's possible in supply chain optimization.

What You'll Do at arenaflex

As a pivotal member of our CENTROID Data Science team, you'll develop intelligent solutions that make highly visible and significantly impactful decisions in network transformation. Your work will directly influence how arenaflex delivers on its promise of offering the widest product assortment, the lowest prices, and the most modern capabilities to customers everywhere.

Your responsibilities will span across critical areas of our supply chain ecosystem:


  • Network Design Innovation: Architect solutions for ambient and perishable product inbound network design, ensuring freshness and efficiency from warehouse to shelf.

  • Flow Optimization: Optimize center-mile network flow to reduce transit times and costs while maximizing throughput across our vast distribution infrastructure.

  • Last-Mile Excellence: Design and refine last-mile delivery and returns strategies that create seamless customer experiences while maintaining operational efficiency.

  • Inventory Intelligence: Develop sophisticated inventory placement models and targets that ensure product availability while minimizing carrying costs.

  • Transportation Strategy: Build transportation and monetization strategies that provide arenaflex with competitive advantages in the medium to long term.

  • Advanced Modeling: Apply diverse methodologies spanning operations research, classical machine learning, deep learning, reinforcement learning, and causal inference to solve real-world problems at scale.

Your work won't just live in research papers—it will power decisions that affect hundreds of millions of customers. In fact, our team was honored with the prestigious INFORMS Franz Edelman award in 2023, recognizing the transformative impact of our work. You'll be joining a team that's not afraid to tackle the impossible and consistently delivers world-class results.

Who We're Looking For

We're seeking a talented Operations Research Scientist who thrives on solving complex, large-scale optimization problems and is passionate about applying quantitative expertise to real-world business challenges. You'll need the technical acumen to develop sophisticated models and the communication skills to translate complex findings into actionable insights for both technical and non-technical stakeholders.

Required Qualifications:


  • Advanced degree (Ph.D. or M.S.) in a quantitative discipline such as Operations Research, Mathematics, Computer Science, Statistics, or a related field, with up to ten years of relevant work experience

  • Strong foundation in operations research methodologies, including mathematical programming, stochastic programming, or related applied disciplines with heavy use of optimization modeling

  • Hands-on experience with optimization toolkits and libraries such as CPLEX, Gurobi, XPressMP, or open-source solvers

  • Strong software development proficiency in Python with familiarity to machine learning libraries including Scikit-learn, TensorFlow, PyTorch, and Keras

  • Data querying capabilities using SQL

  • Excellent communication skills with the ability to present findings effectively to both technical and non-technical audiences

  • Proven ability to collaborate with cross-functional business leaders

What Would Set You Apart:


  • Demonstrated capability as a full-stack data scientist who develops, optimizes, and scales models for production environments

  • Strong proficiency with optimization modeling techniques including Linear Programming, Mixed Integer Programming, and Non-Linear Programming, combined with advanced statistical modeling expertise (e.g., SVM, Random Forest, Bayesian inference, Graph models, NLP, Computer Vision, Neural Networks)

  • Experience solving challenging inventory and operations planning problems

  • Experience solving stochastic discrete optimization problems using various heuristics, integer programming models, and simulation-based approaches

  • Familiarity with cloud technologies including GCP, Azure, as well as Spark, Hive, and TensorFlow

  • A strong record of peer-reviewed publications in top-tier conferences and journals

Why arenaflex? More Than Just a Job

At arenaflex, we believe that people are the heart of our innovation, and that spirit powers everything we do. We're people-led and tech-empowered, creating an environment where your contributions truly matter. When you join our team, you're not just accepting a position—you're launching a career trajectory that can take you wherever you want to go in the world of data science, operations research, and retail technology.

Work-Life Balance: We understand that great work requires balance. Enjoy the flexibility of remote work arrangements that allow you to contribute your best from anywhere. Our comprehensive paid time off policies ensure you can recharge and return refreshed.

Continuous Learning: The retail landscape evolves rapidly, and so will you. We invest heavily in training our team with the skillsets of tomorrow, bringing in experts to help us all grow. Whether you're chasing your first opportunity or looking for a role that defines your career, we provide pathways for advancement and skill development across virtually every industry.

Innovation at Scale: Here, one line of code can make lives easier for hundreds of millions of people. That's the power of working at arenaflex scale. Your innovations won't just be theoretical—they'll be deployed, measured, and felt by customers around the world.

Compensation and Benefits

We recognize that exceptional talent deserves exceptional rewards. Here's what we offer:


  • Competitive Pay: $65 - $100 per hour, commensurate with experience and expertise

  • Performance Recognition: Incentive awards that reward your contributions and impact

  • Financial Security: 401(k) matching and stock purchase plans to help you build wealth for the future

  • Family Support: Paid maternity and parental leave because we know family matters

  • Health & Wellness: Multiple health plans, comprehensive medical insurance, and dental coverage to keep you and your family healthy

  • Time Off: Generous paid time off to rest, recharge, and pursue what matters to you

  • And Much More: Additional perks and benefits that make life at arenaflex rewarding in every way

Ready to Make Your Mark?

If you're driven by complex challenges, passionate about data-driven decision making, and want to see your work impact millions of lives, there's never been a better time to join arenaflex. We're building something extraordinary, and we need extraordinary people to help us get there.

This is your opportunity to be part of a team that's reshaping the future of retail. You'll work alongside industry-leading experts, tackle problems that have never been solved before, and see your innovations come to life at a scale that few companies can offer. Your career at arenaflex isn't just a job—it's a chance to define what's possible.

Apply now and help us reinvent the future of retail.

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