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New Grad Data Scientist Jobs in Puerto Rico (NOW HIRING)

Weil Group, Inc

PR · On-site

Provides technical guidance and quality assurance support in the transfer of new products and ... Evaluates documentation compliance, including data GDP compliance and electronic system data ...

Toyota

Sr Manager, Chief Risk Officer

San Juan, PR · On-site

Authorize new loads and overlines based on lending authority. Data Science * Supervise data ... programs (e.g. college grad, global professional, pre-approvals, etc.). * Oversee ongoing ...

Infotech Sourcing

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... or data scientists Experience contributing to research papers Important: Preferably no known ...

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All JobsNew Grad Data Scientist JobsNew Grad Data Scientist Jobs in Puerto Rico

New Grad Data Scientist information

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Puerto Rico?

For New Grad Data Scientist jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching New Grad Data Scientist jobs in Puerto Rico look for?

The top searched job categories for New Grad Data Scientist jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for New Grad Data Scientist jobs?

Cities in Puerto Rico with the most New Grad Data Scientist job openings:

New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist job openings in Puerto Rico as of June 2026, with employment types broken down into 36% Full Time, and 64% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Principal Engineer - AI Architect

Hewlett Packard Enterprise Development LP

San Juan, PR • Hybrid

Full-time

Re-posted 14 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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