Requirements

Working toward a Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, or a related field. Strong proficiency in Python, with a good knowledge of its ecosystems. Experience in building and deploying machine learning models. Strong knowledge of data structures, data modelling, and software architecture. Excellent analytical and problem-solving skills. Ability to communicate complex solutions in a simple, actionable way. Ability to handle multiple tasks in a fast-paced environment. Detail-oriented and excellent organizational skills.

Preferred Qualifications

Experience with cloud services like AWS, Google Cloud, or Azure. Experience with linux-based systems and bash. Familiarity with Kubernetes and Docker. Familiarity with data visualization tools such as Plotly, Matplotlib, Grafana, or similar. Experience with big data tools such as SQL, Pandas, Spark, or similar. Experience with ML tools such as xgboost, mlflow, scikit-learn, tensorflow, kedro Experience with GenAI tools such as langchain, langgraph, langflow. Knowledge of Agile methodologies. Proven experience in data management and data preprocessing. Professional certifications related to data science or machine learning would be a plus. Domain knowledge in Networking work be a plus.

Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available.

Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including 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, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence.