Data Scientist Intern

Ciena-posted 8 months ago
Entry Level
Telecommunications
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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.

  • 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.
  • 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.
  • 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 would be a plus.
  • 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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