Data Scientist – Supply Chain Optimisation

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Ciena

5001 - 10000 employees

Founded 1985

📡 Telecommunications

🔧 Hardware

💰 Series C on 1995-12

Telecommunications • Hardware • Networking

Ciena is a global leader in optical and routing systems, services, and automation software. We build the world’s most adaptive networks to address ever-increasing digital demands for richer, more connected experiences for all users. For three-plus decades, we’ve brought our innate sense of humanity to our relentless pursuit of innovation.

📋 Description

• 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.

🎯 Requirements

• 5+ years of experience in data science, analytics, or optimization roles • Degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, or a related quantitative discipline • Application of programming languages such as Python or R for analytical and modeling solutions • Application of machine learning and statistical modeling techniques within supply chain contexts • Utilization of optimization libraries such as OR‑Tools, Pyomo, or Gurobi • Application of SQL or similar tools for data manipulation and analysis • Translation of business problems into analytical approaches that deliver actionable outcomes.

🏖️ Benefits

• Flexible work environment • Professional development opportunities • Recognition initiatives

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