Remote arenaflex Data Science & Optimization Specialist – Supply Chain Analytics, Machine Learning, and Cloud Engineering

About arenaflex

arenaflex is a global leader in retail technology and supply‑chain innovation. With a heritage of transforming how billions of customers receive the products they love, arenaflex combines deep industry expertise, cutting‑edge data science, and a relentless focus on customer value. Our mission is to design a delivery network that leverages arenaflex’s unique scale to offer an expansive assortment, drive the lowest possible cost, and build next‑generation capabilities through transformative initiatives. As a member of the arenaflex family, you will work alongside world‑class researchers, seasoned consultants, and technologists who are reshaping the future of omnichannel logistics.

Why This Role Matters

The arenaflex Data Science team tackles the most complex, high‑impact problems in supply‑chain optimization. From ambient and perishable inbound network design to last‑mile transportation, inventory placement, and revenue‑maximizing pricing strategies, our work directly influences arenaflex’s competitive edge for the next decade. We employ a blend of operations research, statistical inference, and advanced machine learning to develop solutions that are published in top‑tier conferences and journals. In 2023, our team earned the prestigious arenaflex Franz Edelman award for groundbreaking contributions to network transformation.

Key Responsibilities

• Design, develop, and deploy large‑scale optimization models (linear, mixed‑integer, non‑linear) that address real‑world supply‑chain challenges such as facility location, routing, and inventory allocation.
• Integrate advanced statistical and machine learning techniques—including support vector machines, random forests, Bayesian inference, graph models, natural language processing, computer vision, and deep neural networks—into decision‑support tools.
• Collaborate with cross‑functional stakeholders (product, engineering, operations, and senior leadership) to translate business objectives into quantitative problem statements and actionable insights.
• Leverage cloud platforms (arenaflex Cloud Services) and big‑data technologies (arenaflex Spark, arenaflex Hive) to build scalable pipelines that process terabytes of transactional and sensor data.
• Maintain and enhance codebases in Python, ensuring adherence to best practices, reproducibility, and robust testing frameworks.
• Conduct rigorous validation, sensitivity analysis, and scenario planning to guarantee model reliability under uncertainty.
• Present findings to both technical and non‑technical audiences, crafting clear visualizations and narratives that drive data‑informed decision making.
• Mentor junior data scientists and analysts, fostering a culture of continuous learning and knowledge sharing.

Essential Qualifications

• Ph.D. or M.S. in a quantitative discipline such as Operations Research, Mathematics, Computer Science, Statistics, or a closely related field.
• Up to ten years of relevant professional experience applying operations research or statistical methods to large‑scale optimization problems.
• Demonstrated expertise in formulating and solving stochastic programming models, with a strong publication record in peer‑reviewed venues.
• Proficiency with commercial and open‑source solvers (arenaflex CPlex, arenaflex Gurobi, arenaflex XPressMP, or equivalents).
• Advanced software development skills in Python, including familiarity with machine‑learning libraries (arenaflex Scikit‑Learn, arenaflex TensorFlow, arenaflex PyTorch, arenaflex Keras) and SQL for data extraction.
• Excellent communication abilities, capable of articulating complex analytical results to diverse audiences.
• Proven track record of collaborating with senior leaders and influencing strategic direction.

Preferred Qualifications & Skills

• Hands‑on experience building end‑to‑end data science solutions that scale in a production environment.
• Deep knowledge of optimization modeling techniques (LP, MIP, NLP) combined with statistical modeling (SVM, Random Forest, Bayesian methods, graph algorithms, NLP, computer vision, neural networks).
• Experience solving challenging inventory/operations planning problems using heuristics, integer programming, and simulation‑based approaches.
• Familiarity with cloud infrastructure (arenaflex GCP, arenaflex Azure) and big‑data ecosystems (arenaflex Spark, arenaflex Hive, arenaflex TensorFlow).
• A strong portfolio of peer‑reviewed publications or patents that demonstrate thought leadership.

Core Competencies for Success

• Analytical Rigor: Ability to break down ambiguous business problems into well‑defined mathematical formulations.
• Technical Mastery: Expertise in programming, solver integration, and cloud‑based data pipelines.
• Strategic Vision: Understanding of how supply‑chain decisions impact overall business performance and customer experience.
• Collaboration: Strong interpersonal skills to work effectively with multidisciplinary teams.
• Communication: Talent for translating technical results into compelling stories for executives and operational teams.
• Continuous Learning: Commitment to staying current with emerging methods in optimization, AI, and data engineering.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is shaped by the impact you create. You will have access to:

• Mentorship from award‑winning researchers and senior leaders in the field of supply‑chain analytics.
• Funding for conferences, workshops, and advanced certifications (e.g., Certified Supply Chain Analyst, Advanced Machine Learning).
• Opportunities to lead cross‑functional projects that influence global strategy and operational execution.
• Rotational programs that allow you to explore adjacent domains such as product forecasting, demand planning, and retail technology development.
• A clear promotion pathway from Specialist to Senior Scientist, Principal Engineer, and eventually to Director‑level roles.

Work Environment & Culture

arenaflex fosters an inclusive, collaborative, and innovative environment. Our remote‑first policy empowers you to work from anywhere while staying tightly connected through virtual collaboration tools, regular team‑wide hackathons, and quarterly in‑person meet‑ups. We celebrate diversity of thought, encourage curiosity, and reward bold experimentation. The culture is built on three pillars:

• People‑First: We invest in your well‑being, offering flexible schedules, mental‑health resources, and a supportive community.
• Tech‑Empowered: Cutting‑edge infrastructure, open‑source contributions, and a sandbox for rapid prototyping are standard.
• Impact‑Driven: Every project is tied to measurable business outcomes that affect millions of customers worldwide.

Compensation, Perks & Benefits

• Competitive Pay: $65 – $100 per hour, commensurate with experience and expertise.
• Performance Bonuses: Incentive awards tied to project milestones and business impact.
• Retirement Savings: 401(k) matching contributions to help you build long‑term financial security.
• Health & Wellness: Comprehensive medical, dental, and vision plans; multiple fitness programs; and wellness stipends.
• Work‑Life Balance: Generous paid time off, parental leave, and flexible holiday schedules.
• Employee Stock Purchase: Opportunity to purchase arenaflex shares at a discounted rate.
• Learning Resources: Access to online learning platforms, internal tech talks, and a library of research publications.

How to Apply

If you are passionate about solving some of the most challenging problems in supply‑chain optimization and want to make a tangible impact at a global technology leader, we want to hear from you. Join arenaflex and become part of a team that is redefining the future of retail logistics.

Apply Now