Data Scientist Intern

Posted Yesterday
Be an Early Applicant
Hiring Remotely in US
Remote
Internship
Cloud • Hardware • Internet of Things • Other • Software • Semiconductor • Utilities
Ciena is a networking systems, services, and software company.
The Role
As a Data Scientist Intern, you will research and implement applications using Large Language Models, analyze datasets, and build predictive models. You'll collaborate with teams, automate data processes, and present insights effectively.
Summary Generated by Built In

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.

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.

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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.

If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

Top Skills

AWS
Azure
Bash
Docker
GCP
Grafana
Kedro
Kubernetes
Langchain
Langflow
Langgraph
Linux
Matplotlib
Mlflow
Pandas
Plotly
Python
Scikit-Learn
Spark
SQL
TensorFlow
Xgboost
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The Company
HQ: Hanover, MD
9,561 Employees
Hybrid Workplace
Year Founded: 1992

What We Do

Ciena (NYSE: CIEN) is a global leader in networking systems, services, and software. We build the world’s most adaptive networks to enable our customers to deliver richer, more connected experiences for all users. At our core, Ciena is a company rooted in people. We prioritize deep, collaborative relationships within our teams and alongside our customers, partners, and communities around the world.

For three-plus decades, we’ve brought our humanity to our relentless pursuit of innovation. We continue to lead the evolution of networking with a strong track record of industry firsts. As end-user expectations skyrocket, our customers and their networks must transform. Ciena powers this transformation by driving next-generation solutions built for maximum openness and agility—today and into the future.



Corporate/Brand Values:

• Customer First
• Integrity
• Velocity
• Innovation
• Outstanding People

We're the perfect size for you to make an impact. W

Only Ciena has the depth of expertise and the culture of collaboration and partnership required to help our partners evolve. We do this by strategically integrating hardware, services, and software in an open environment to ensure our clients’ networks are ‘fit for flexibility’ today and into the f

Why Work With Us

We are known for our industry-firsts, including the first coherent optical solution, converged packet-optical platform, and intelligence automation platform. Our commitment extends beyond innovation, logging in over 35,000 volunteer hours and $2 million to worthy causes in 2023. We're the perfect size and culture for you to make a difference.

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