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.

Familiarity with cloud-based CI/CD tools and collaboration with DevOps teams to monitor data pipelines.

Understanding of multi-cloud production environments.

Ability to troubleshoot open-source data processing engines such as Apache Spark and Apache Storm.

Preferred Qualifications:

Basic knowledge of networking concepts is highly advantageous.

Impact/Scope:

University students actively enrolled in a university/college/institution pursuing a Bachelor's degree in a technical area of study, and who typically works during school breaks and then returns to their university. While this applies to most interns, there may be opportunities for full-time students to work as part-time interns during the school year in some countries.

Additional Skills:

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

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Job:

Engineering

Job Level:

N/A

    

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.