Real job — pulled straight from Ciena’s careers page · Verified August 25, 2026 · No reposts.
Job description
Ciena is hiring a Data Scientist, Supply Chain Optimization — a full-time, remote role. Apply directly on Ciena's careers page below.
Data Scientist - Supply Chain Optimisation
Location: Remote-UK
Time Type: Full time
Job Description
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
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 exposure to supply chain problem domains.
- Application of programming languages such as Python 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.
Nice to haves:
- Background working with modern data platforms such as Snowflake and transformation tools such as dbt.
- Exposure to geospatial analytics or network visualization tools.
- Experience supporting global supply chain environments or complex organizational structures.
- Background using Dataiku or Alteryx One.
#LI-ST1
At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination.
Ciena is an Equal Opportunity Employer, including disability and protected veteran status.
If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.
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Frequently asked questions
Is Data Scientist, Supply Chain Optimization at Ciena a remote job?
Yes, Data Scientist, Supply Chain Optimization at Ciena is a remote position. This role is open to remote candidates.
What skills are required for Data Scientist, Supply Chain Optimization at Ciena?
The required skills for Data Scientist, Supply Chain Optimization at Ciena include: Python, Machine Learning, SQL, Data Science, Snowflake, dbt, Alteryx.
What is the seniority level for Data Scientist, Supply Chain Optimization at Ciena?
Data Scientist, Supply Chain Optimization at Ciena is a Senior level position.
How do I apply for Data Scientist, Supply Chain Optimization at Ciena?
You can view the full description and apply for Data Scientist, Supply Chain Optimization at Ciena on EchoJobs: https://echojobs.io/job/ciena-data-scientist-supply-chain-optimisation-uwv1k.