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.
- 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.
- 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 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.
- 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.
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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.
Skills Required
- Degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, or related quantitative discipline
- 5+ years of experience in data science, analytics, or optimization roles with exposure to supply chain problem domains
- Proficiency in Python or R for analytical and modeling solutions
- Experience applying machine learning and statistical modeling techniques within supply chain contexts
- Experience using optimization libraries such as OR-Tools, Pyomo, or Gurobi
- Experience with SQL or similar tools for data manipulation and analysis
- Ability to translate business problems into analytical approaches that deliver actionable outcomes
- Experience analyzing, cleansing, and transforming large, imperfect datasets
Ciena Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ciena and has not been reviewed or approved by Ciena.
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Fair & Transparent Compensation — Pay is often characterized as competitive or above-market in certain roles and regions, with references to market-aligned salary ranges and transparency around pay bands.
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Healthcare Strength — Health coverage is frequently framed as comprehensive, including medical, dental, and vision, with indications that coverage can extend to dependents and is viewed as a meaningful component of total rewards.
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Leave & Time Off Breadth — Time-off offerings are described as flexible and generous, including Flex/uncapped PTO in many cases and additional paid time for volunteering.
Ciena Insights
What We Do
Ciena (NYSE: CIEN) is a global leader in networking systems, services, and software. We build the world’s most adaptive networks to enable our customers to deliver richer, more connected experiences for all users. At our core, Ciena is a company rooted in people. We prioritize deep, collaborative relationships within our teams and alongside our customers, partners, and communities around the world. For three-plus decades, we’ve brought our humanity to our relentless pursuit of innovation. We continue to lead the evolution of networking with a strong track record of industry firsts. As end-user expectations skyrocket, our customers and their networks must transform. Ciena powers this transformation by driving next-generation solutions built for maximum openness and agility—today and into the future. Corporate/Brand Values: • Customer First • Integrity • Velocity • Innovation • Outstanding People We're the perfect size for you to make an impact. W Only Ciena has the depth of expertise and the culture of collaboration and partnership required to help our partners evolve. We do this by strategically integrating hardware, services, and software in an open environment to ensure our clients’ networks are ‘fit for flexibility’ today and into the f
Why Work With Us
We are known for our industry-firsts, including the first coherent optical solution, converged packet-optical platform, and intelligence automation platform. Our commitment extends beyond innovation, logging in over 35,000 volunteer hours and $2 million to worthy causes in 2023. We're the perfect size and culture for you to make a difference.
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