Data Scientist — Supply Chain Optimisation (Flexible Work)

Ciena; United Kingdom; On-site; GBP 70,000 - 120,000; Full time

Job summary

Ciena seeks a Data Scientist in its Supply Chain Optimisation team to apply advanced analytics to global challenges, impacting cost, service performance, and sustainability. You will contribute to data-driven decision making across procurement, planning, engineering, and logistics.

You will design optimization models, develop production-ready algorithms in Python, and build dashboards to communicate insights to technical and non-technical stakeholders.

Qualifications

• Degree in Data Science, Statistics, Mathematics, OR CS, Engineering
• 5+ years in data science, analytics, or optimization, with supply chain exposure
• Proficiency in Python for analytics and modeling
• Experience with ML and statistical modeling in supply chain contexts
• Experience with optimization libraries OR-Tools, Pyomo, or Gurobi
• SQL or similar data manipulation tools
• Ability to translate business problems into analytical solutions

Responsibilities

• Design and implement optimization models for network design, inventory positioning, demand forecasting, and transport efficiency
• Apply advanced analytics to improve cost, service levels, and sustainability
• Cleanse and transform large datasets to generate actionable insights
• Develop algorithms using optimization, ML, and statistics to solve complex supply chain problems
• Implement production-ready analytical solutions using Python or similar languages
• Build dashboards and outputs to communicate insights to stakeholders
• Collaborate with data scientists, analysts, and architects for scalable solutions

Skills

Python

Machine learning

Statistics

Optimization

Data analysis

Education

Degree in Data Science, Statistics, Mathematics, OR CS, Engineering

Tools

OR-Tools

Pyomo

Gurobi

SQL

Snowflake

dbt

Dataiku

Alteryx

Job description

Ciena seeks a Data Scientist in its Supply Chain Optimisation team to apply advanced analytics to global challenges, impacting cost, service performance, and sustainability. You will contribute to data-driven decision making across procurement, planning, engineering, and logistics.

You will design optimization models, develop production-ready algorithms in Python, and build dashboards to communicate insights to technical and non-technical stakeholders.