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Computer Science Internship Jobs in Moca, PR (NOW HIRING)

Computer Science Internship information

What are the key skills and qualifications needed to thrive as a Computer Science Intern, and why are they important?

To thrive as a Computer Science Intern, you generally need foundational knowledge in programming, algorithms, and data structures, often supported by progress toward a computer science degree. Familiarity with coding languages such as Python, Java, or C++, as well as experience using version control systems like Git, is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative environments. These skills and qualities are essential because they enable interns to contribute meaningfully to projects, adapt to new technologies, and work efficiently within a development team.

What types of projects do Computer Science interns typically work on, and how much autonomy can I expect?

Computer Science interns often contribute to real-world projects such as developing new software features, debugging code, automating processes, or supporting infrastructure. While the level of autonomy varies by company, interns are generally given meaningful tasks and encouraged to collaborate with senior engineers and cross-functional teams. You'll likely participate in code reviews, agile sprints, and team meetings, gaining hands-on experience and feedback. Many organizations assign mentors to guide interns, helping them balance independence with structured learning and support.

What is a computer science internship?

A computer science internship is a temporary position that allows students or recent graduates to gain practical experience in the field of computer science. Interns typically work on real-world projects, assisting with programming, software development, data analysis, or IT support under the supervision of experienced professionals. These internships provide valuable hands-on skills, networking opportunities, and insight into potential career paths within technology industries.

What is the difference between Computer Science Internship vs Software Developer Intern?

AspectComputer Science InternshipSoftware Developer Intern
Required CredentialsTypically pursuing or recent graduate in CS or related fieldSame as CS internship, often students or recent grads
Work EnvironmentVaries across tech companies, research labs, startupsPrimarily software development teams in tech firms
Employer & Industry UsageUsed across academia, industry, research projectsPrimarily in software development companies and tech industry
Common Search & Comparison IntentUnderstanding internship opportunities in CSComparing software development internship roles

Both Computer Science Internships and Software Developer Internships target students or recent graduates interested in tech. While CS internships may include research, data analysis, or broader technical roles, Software Developer Internships focus specifically on coding and software creation. The choice depends on your career goals and the specific skills you want to develop.

What cities near Moca, PR are hiring for Computer Science Internship jobs? Cities near Moca, PR with the most Computer Science Internship job openings:
Infographic showing various Computer Science Internship job openings in Moca, PR as of May 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 81% In-person, and 19% Hybrid job distribution.
Data Scientist Intern - Bachelors/Masters

Data Scientist Intern - Bachelors/Masters

Hewlett Packard Enterprise

Aguadilla, PR • On-site

Part-time

Posted 13 days ago


Hewlett Packard Enterprise rating

8.3

Company rating: 8.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

31st of 137 rated electronics manufacturers


Job description

Data Scientist Intern - Bachelors/MastersThis 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 onfinding 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 Bachelor's or 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.

#puertorico#interns

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/vendorswill 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.


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