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

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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.

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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.

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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.

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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.

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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

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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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