Data Scientist - Supply Chain Optimisation

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact. Data Scientist – Supply Chain Optimisation As a Data Scientist within Ciena ’s Supply Chain Optimisation team, this role applies advanced analytics to complex, global supply chain challenges that directly impact cost, service performance, and sustainability outcomes. The position contributes to data‑driven decision making across procurement, planning, engineering, operations, and logistics functions. This role supports scalable optimization solutions aligned with Ciena ’s operational priorities. How you will make an impact: Design and implement optimization models addressing network design, inventory positioning, demand forecasting, and transportation efficiency. Apply advanced analytics techniques to improve supply chain performance, cost efficiency, service levels, and sustainability outcomes. Analyze, cleanse, and transform large, imperfect datasets to generate actionable insights. Develop algorithms using optimization, machine learning, and statistical modeling techniques to solve complex supply chain problems. Implement production‑ready analytical solutions using Python, R, or comparable programming languages. Build dashboards and analytical outputs that communicate insights to technical and non‑technical stakeholders. Collaborate with data scientists, analysts, and architects to ensure scalable and aligned analytical solutions. The must haves: Education: Degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, or a related quantitative discipline. Experience: 5+ years of experience in data science, analytics, or optimization roles, including