Hybrid Data Science Intern: Learn, Build & Grow

Hewlett Packard Enterprise; Aguadilla (PR); Híbrido; USD 21 000 - 30 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Resumo da oferta

Hewlett Packard Enterprise is offering a Data Science internship in Aguadilla, Puerto Rico, designed as a hybrid role with an expectation to work 2 days per week from an HPE office. The internship provides exposure to data analysis, scripting, and collaboration on technical projects within a global edge-to-cloud company.

You will work with engineers and data professionals, applying basic programming and problem-solving skills while gaining hands-on experience in a fast-paced tech environment.

Qualificações

• Currently pursuing a Bachelor's degree in Engineering, Computer Science, Information Technology, or related technical field.
• Basic programming or scripting knowledge (e.g., Python, Java, C++).
• Strong interest in high-tech and a passion for learning.

Responsabilidades

• Support senior team members on assigned technical projects as determined by the business unit.
• Help identify and troubleshoot technical issues, providing support and suggesting solutions.
• Assist with maintaining and updating hardware, software, and other technical systems.
• Participate in team activities by attending team meetings, learn about project methodologies, and collaborate effectively with colleagues.
• Actively engage in learning about new technologies and methodologies relevant to work.
• Fulfill tasks and responsibilities assigned by a supervisor in a timely and efficient manner.
• Participate in periodic reviews to share updates and incorporate feedback on assigned projects/initiatives.

Descrição da oferta de emprego

Hewlett Packard Enterprise is offering a Data Science internship in Aguadilla, Puerto Rico, designed as a hybrid role with an expectation to work 2 days per week from an HPE office. The internship provides exposure to data analysis, scripting, and collaboration on technical projects within a global edge-to-cloud company.

You will work with engineers and data professionals, applying basic programming and problem-solving skills while gaining hands-on experience in a fast-paced tech environment.