Data Scientist Intern

Ciena is committed to our people-first philosophy. Our teams enjoy a culture focused on prioritizing a personalized and flexible work environment that empowers an individual’s passions, growth, wellbeing and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact.

Responsibilities:

Research and implement software applications leveraging Large Language Models. Analyze and interpret complex datasets to create actionable insights and solutions. Develop, test, and implement predictive models and machine learning algorithms. Build software solutions to automate and streamline data analysis processes. Collaborate with cross-functional teams to understand their business needs and provide data-driven solutions. Present findings to stakeholders in a clear and compelling manner. Stay up-to-date with the latest industry trends and technologies to ensure our data systems are current and competitive.

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.

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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.

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