Data Scientist developing machine learning models and Power BI dashboards at a leading transit bus manufacturer. Collaborating across functions including engineering, quality, and supply chain.
About the role
- Data Scientist developing AI agents and advanced analytics solutions for Ciena. Focused on machine learning, generative AI, and delivering business value through intelligent data-driven tools.
Responsibilities
- Analyze complex, large-scale datasets to uncover patterns, trends, and opportunities that translate into actionable insights and measurable business value
- Design, develop, deploy, and maintain predictive models and machine learning solutions supporting business and operational use cases
- Build AI-powered applications and AI agents leveraging Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), orchestration frameworks, and tool integration
- Research, evaluate, and prototype emerging AI, machine learning, and agentic technologies and assess their applicability within telecom and networking environments
- Develop solutions supporting network operations, automation, incident analysis, anomaly detection, knowledge assistance, customer support, and decision support
- Partner closely with cross-functional stakeholders to define use cases, translate requirements, and deliver scalable, production-ready solutions
- Define and apply evaluation methods and performance metrics for machine learning and LLM-based systems, including quality, reliability, latency, and business impact
Requirements
- Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Engineering, Physics, or a related quantitative field
- Proven experience in a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role
- Strong proficiency in Python and hands-on experience with data science and machine learning libraries
- Experience building and deploying machine learning models in production or near-production environments
- Practical experience with Large Language Models (LLMs) and generative AI applications, including prompt engineering, model integration, or retrieval-augmented generation (RAG)
- Solid understanding of AI agent concepts including orchestration, tool use, planning, memory, guardrails, and human-in-the-loop approaches
- Strong foundation in data structures, software design, system architecture, and analytical problem-solving
Benefits
- medical, dental, and vision plans
- participation in 401(K) (USA) & DCPP (Canada) with company matching
- Employee Stock Purchase Program (ESPP)
- Employee Assistance Program (EAP)
- company-paid holidays
- paid sick leave
- vacation time
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