Data Scientist Intern - Masters

Data Scientist Intern - Masters

This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work.

We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

Our culture thrives on finding new and better ways to accelerate what's next.

We know varied backgrounds are valued and succeed here.

We have the flexibility to manage our work and personal needs.

We make bold moves, together, and are a force for good.

If you are looking to stretch and grow your career our culture will embrace you.

Open up opportunities with HPE.

Job Description:

Job Family Definition:

Students pursuing a Master's degree in Computer Science, Data Science.

Assists in various tasks aligned with their field of study, including research, collaboration on team initiatives and projects, problem-solving, and creative thinking to gain hands-on experience and develop professional skills.

Includes internships, research roles, visiting scholar positions, or other program-related opportunities.

We are seeking enthusiastic interns pursuing advanced degrees to join our team working on cutting-edge enterprise Wi-Fi technology and autonomous platforms.

In this role, you will contribute to data science research and software development aimed at delivering deep insights into user experience through big data and predictive modeling.

You will collaborate with engineers and product managers to help build the next generation of autonomous Wi-Fi networks that process massive streaming data in real time to detect anomalies, predict issues, and improve network reliability.

Key Responsibilities:


* Apply your analytical and programming skills using open-source technologies such as Apache Storm, Apache Spark, Elasticsearch, and Redis.


* Design and implement scalable machine learning algorithms to process terabytes of streaming data.


* Organize and analyze raw data while building and maintaining robust data systems and processing pipelines.


* Support troubleshooting efforts in production environments and assist in resolving customer issues.


* Leverage network data to enhance the Mist platform's inference engine and AI capabilities, including the virtual assistant chatbot.


* Assist in determining failure probabilities across the Wi-Fi network and conduct failure scope analyses.

Education Requirements:


* Currently pursuing a Master's degree in Computer Science, Data Science.

Knowledge & Skills:


* Proficient in Java and Python programming languages.


* Solid understanding of big data tools and techniques, including distributed storage and computation engines.


* Experience developing reusable, scalable data processing components.
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