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Ciena is hiring for a Remote Data Science Intern in US




Position:

  • Data Scientist Intern

  • Entry-level opportunity designed for students or recent graduates pursuing relevant technical education

Company:

  • Ciena

  • A global leader in networking systems, services, and software with a focus on flexible, people-first work culture

Location:

  • Remote - United States

  • Work from anywhere within the US, ensuring accessibility and flexibility

Job type:

  • Full time

  • Requires a full-time commitment with flexible scheduling aligned to project and team needs

Job mode:

  • Internship

  • Temporary opportunity structured to offer real-world experience and learning

Job requisition id:

  • R027795

Years of experience:

  • Not explicitly required

  • Open to students or fresh graduates with relevant technical skills and academic exposure


Company description:

  • Ciena is a recognized leader in the networking industry, renowned for its people-first culture and human-centric innovation.

  • The company is dedicated to building solutions that power the world’s most advanced networks while integrating social, environmental, and community-conscious strategies.

  • Employees at Ciena thrive in an inclusive environment, where flexibility, autonomy, and personal growth are actively encouraged.

  • The organization supports work-life integration through remote roles and flexible hours, believing that employee satisfaction leads to higher innovation and performance.

  • Ciena also emphasizes sustainability, diversity, and ethical practices across its operations, from technological development to workforce engagement.

  • It combines technical excellence with a deep sense of corporate responsibility, making it a destination employer for mission-driven professionals.

  • The company's commitment extends beyond technology - it’s about meaningful societal contribution and driving positive global impact.

  • With strong values and a collaborative culture, Ciena continues to attract top talent passionate about shaping the future of communication networks.


Profile overview:

  • This Data Scientist Intern role involves hands-on exposure to machine learning, AI, and data engineering tasks.

  • Interns are expected to research, prototype, and apply Large Language Models (LLMs) to practical use cases that support Ciena’s technology solutions.

  • The position includes data exploration, predictive modeling, and the development of software tools that automate and optimize analysis workflows.

  • Interns will participate in cross-functional collaborations, gaining an understanding of how data science aligns with broader business needs.

  • They will engage in interpreting complex datasets and providing meaningful insights that support product development and innovation.

  • The role also requires effective communication of technical concepts to both technical and non-technical stakeholders.

  • Staying current with industry trends and applying the latest advancements in data science and AI will be a core part of the internship.

  • Ultimately, the role offers a structured learning experience with the opportunity to make real contributions to Ciena’s innovation pipeline.


Qualifications:

  • Currently pursuing a Bachelor's degree in Computer Science, Data Science, Physics, Statistics, or a related technical field.

  • Strong foundational knowledge in Python programming, including hands-on familiarity with its packages and frameworks.

  • Capable of designing, training, and deploying machine learning models in practical environments.

  • Solid grasp of key computer science principles such as data structures, software design, and data modeling.

  • Strong analytical thinking and logical reasoning ability to solve complex problems using data.

  • Must have strong organizational skills and attention to detail, enabling accurate data management and documentation.

  • Ability to prioritize and manage multiple projects simultaneously in a fast-paced working environment.

  • Communication skills are essential for translating analytical findings into actionable business strategies.


Additional info:

  • Familiarity with cloud computing platforms such as AWS, GCP, or Azure is desirable.

  • Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes adds value.

  • Working knowledge of Linux environments and scripting in bash is a plus for infrastructure-related tasks.

  • Exposure to data visualization libraries such as Plotly, Matplotlib, or Grafana is helpful in reporting and dashboards.

  • Experience with big data and data manipulation tools (e.g., SQL, Pandas, Apache Spark) will be an advantage.

  • Understanding of modern ML tools such as XGBoost, scikit-learn, TensorFlow, Kedro, or MLflow is preferred.

  • Familiarity with generative AI frameworks including LangChain, LangGraph, or LangFlow is seen as a bonus.

  • Prior experience with Agile methodologies, data preprocessing, and professional certifications in machine learning will distinguish candidates.

  • Knowledge of networking concepts or prior exposure to networking projects is also an added plus.

  • Compensation includes competitive pay and benefits including health insurance, paid time off, and access to Ciena’s Employee Stock Purchase Program.


Key Responsibilities and Detailed Role Breakdown

Research & Application of LLMs:

  • Investigate state-of-the-art Large Language Models and explore their use in solving real-world business challenges

  • Adapt open-source or proprietary AI models for domain-specific problems at Ciena

  • Experiment with prompts, embeddings, and training methods to enhance model outputs

Data Interpretation & Insight Generation:

  • Analyze structured and unstructured data to uncover trends, anomalies, and actionable insights

  • Use advanced statistical techniques to develop data-driven recommendations

  • Support decision-making through analysis presentations and summary reports

Predictive Modeling & Machine Learning:

  • Design and deploy ML pipelines from feature engineering to model evaluation

  • Build supervised and unsupervised learning models to support forecasting and classification tasks

  • Use tools like scikit-learn, XGBoost, and TensorFlow for experimentation and model development

Automation & Software Engineering:

  • Create automated scripts and tools that streamline repetitive data tasks

  • Develop APIs or internal tools for accessing models or data insights within different teams

  • Support data engineering efforts by contributing to clean, reusable, and scalable codebases

Team Collaboration:

  • Engage in sprint planning, code reviews, and team retrospectives

  • Collaborate with data engineers, software developers, and domain experts to meet joint objectives

  • Participate in brainstorming sessions and architecture discussions to design end-to-end solutions

Communication & Stakeholder Engagement:

  • Translate complex data processes and outcomes into simple language for broader audiences

  • Prepare visuals, demos, and write-ups that align technical work with business objectives

  • Respond to queries and provide updates to both technical mentors and business leads

Keeping Up with Industry Trends:

  • Regularly follow new developments in AI, ML, and data infrastructure

  • Contribute ideas for internal improvement based on recent innovations or academic breakthroughs

  • Document findings from research in formats that support long-term team knowledge sharing

Operational Flexibility and Learning:

  • Interns will operate in a flexible environment where outcomes matter more than work hours

  • Encouraged to explore various areas within data science and adjacent technical domains

  • Receive feedback and mentorship to accelerate learning and professional development


Company Values and Cultural Fit

People-First Culture:

  • Ciena is deeply committed to creating a supportive, flexible, and inclusive workplace

  • Values employee growth, learning, and mental well-being over rigid corporate structures

  • Encourages experimentation, autonomy, and continuous feedback

Equal Opportunity Employer:

  • Promotes diversity and inclusion at all levels of hiring and employment

  • Does not discriminate based on gender, race, disability, or veteran status

  • Will accommodate employees with different needs for accessibility and comfort

Sustainability and Impact:

  • Invested in environmental stewardship and ethical innovation

  • Strives to create positive change through sustainability initiatives and social outreach

  • Encourages employees to align personal values with professional work


Please click here to apply.


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