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Data Science Degree Jobs in Puerto Rico (NOW HIRING)

On Point Strategy LLC

PR · On-site

$16.25 - $21.25/hr

Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

Validation & Engineering Group, Inc

PR · On-site

Experience with recipe management, MES/SCADA/ERP integrations, and data migration for master recipes. Preferred: * Computer science/engineering or life-science degree; certification(s) such as ASQ ...

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Data Science Degree information

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

What are popular job titles related to Data Science Degree jobs in Puerto Rico?

For Data Science Degree jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Data Science Degree jobs in Puerto Rico look for?

The top searched job categories for Data Science Degree jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Data Science Degree jobs?

Cities in Puerto Rico with the most Data Science Degree job openings:

Data Science Degree jobs near you

Principal Engineer - AI Architect

Hewlett Packard Enterprise Development LP

San Juan, PR • Hybrid

Full-time

Re-posted 13 days ago

Job description

Principal Engineer - AI ArchitectThis role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week 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:

We are seeking an AI Architect a senior technical leader responsible for designing and overseeing end-to-end AI systems that align with business objectives. This role bridges business strategy and technical execution, ensuring scalability, security, and compliance across AI solutions. Should have Good Networking knowledge
Responsibilities:
Design end-to-end AI systems (data ingestion model deployment UI).
Collaborate with AI/ML engineers, Data engineers, and MLOps for production readiness.
Strategic Planning & Business Alignment

  • Define AI roadmap aligned with organizational goals.
  • Identify high-impact AI use cases and assess ROI.
  • Engage stakeholders early for feasibility and governance.


Architecture & System Design

  • Design AI system architecture (data pipelines, model lifecycle, orchestration).
  • Integrate AI with enterprise apps and internal systems.
  • Ensure scalability, fault tolerance, and cost efficiency.

Model & Data Management

  • Select appropriate ML/DL models and frameworks (TensorFlow, PyTorch).
  • Define versioning, fine-tuning, and deployment strategies.
  • Implement CI/CD for ML pipelines and monitoring.

Security, Compliance & Governance

  • Enforce data privacy, ethical AI practices, and audit trails.
  • Implement guardrails for LLMs and prompt safety.
  • Collaborate with security teams for risk mitigation.

Cross-Functional Leadership

  • Mentor engineers and data scientists.
  • Translate business requirements into technical tasks.
  • Drive collaboration across product, data, and operations teams.

Education and Experience Required:

  • Bachelor's or master's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
  • Typically, 10+ years' experience.

Knowledge and Skills:

  • Programming & Software Engineering: Python, Java, Node.js; API design; microservices.

  • Cloud & Distributed Systems: AWS, Azure, GCP; container orchestration. (desirable)

  • Technical Expertise

  • Strong knowledge of AI/ML algorithms, LLMs, RAG, and agent-based systems.

  • Proficiency in Python and API integration.

  • AI/ML Expertise: Model selection, NLP frameworks like TensorFlow, PyTorch, Hugging Face.

  • Experience with MLOps, containerization (Docker/Kubernetes), and cloud platforms (AWS/Azure/GCP).

  • System design for distributed AI applications.

  • Data architecture (ETL, feature stores, vector databases).

  • Security and compliance for AI systems.

  • Strong communication skills are necessary to collaborate with cross-functional teams effectively, explain complex AI concepts to non-technical stakeholders, and provide technical leadership and mentorship to junior engineers.

#LI-Hybrid

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

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#networking

Job:

Engineering

Job Level:

TCP_05

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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