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Entry Level Data Science Jobs in Puerto Rico (NOW HIRING)

Validation & Engineering Group, Inc

PR · On-site

$59K - $60K/yr

This entry-level role focuses on learning and applying validation principles, supporting risk-based ... Computer Science / Information Systems * Life Sciences (Biology, Chemistry, Microbiology) * 0-2 ...

Validation & Engineering Group, Inc

PR · On-site

$57K - $58K/yr

This entry-level role focuses on learning and applying validation principles, supporting risk-based ... Computer Science / Information Systems * Life Sciences (Biology, Chemistry, Microbiology) * 0-2 ...

Consertus, Inc.

Junior Integration Developer

San Juan, PR

$65K - $85K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent ... or entry-level experience acceptable) * Basic understanding of REST APIs and data integration ...

Consertus, Inc.

Junior Integration Developer

Guaynabo, PR

$67K - $87K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent ... or entry-level experience acceptable) * Basic understanding of REST APIs and data integration ...

Consertus, Inc.

Junior Integration Developer

Guaynabo, PR · On-site

$67K - $87K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent ... or entry-level experience acceptable) * Basic understanding of REST APIs and data integration ...

QinetiQ US

TARS - General Maintenance Worker

Lajas, PR · On-site

... science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and ... Position Overview QinetiQ US is seeking an entry level Aerostat Operator with experience in ...

All JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Puerto Rico

Entry Level Data Science information

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Puerto Rico? The most popular types of Data Science jobs in Puerto Rico are:
What are popular job titles related to Entry Level Data Science jobs in Puerto Rico? For Entry Level Data Science jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Puerto Rico look for? The top searched job categories for Entry Level Data Science jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Entry Level Data Science jobs? Cities in Puerto Rico with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you

Associate CSV - Periodic Review Scientist

Validation & Engineering Group, Inc

PR • On-site

$59K - $60K/yr

Full-time

Posted 29 days ago

Job description

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.

We are seeking a talented, dedicated individual committed to work under the highest ethics standards for the following position:

  • Associate CSV – Periodic Review Scientist

Position Summary

The Associate CSV Periodic Review Scientist supports the execution of periodic reviews for GxP computer systems to ensure compliance with regulatory requirements and maintenance of the validated state. This entry-level role focuses on learning and applying validation principles, supporting risk-based assessments, and developing technical and compliance expertise in a GMP-regulated environment.

Key Responsibilities

  • Assist in the execution of Periodic Reviews (PR) for GxP computer systems under supervision.
  • Support the evaluation of:
    • Change controls, deviations, and CAPAs
    • System maintenance and calibration status
    • User access reviews and audit trails
    • Backup and restore processes
  • Help compile and organize documentation for PR reports.
  • Apply basic risk-based thinking to assess system status and identify potential issues.
  • Ensure documentation meets GDP (Good Documentation Practices) requirements.
  • Collaborate with cross-functional teams such as QA, IT, Engineering, and Operations.
  • Support audit and inspection readiness activities.
  • Follow procedures aligned with 21 CFR Part 11, EU Annex 11, and Data Integrity requirements.
  • Participate in training programs to build knowledge in CSV/CSA and GxP compliance.

Qualifications

  • Bachelor’s degree in:
    • Engineering (any discipline)
    • Computer Science / Information Systems
    • Life Sciences (Biology, Chemistry, Microbiology)
  • 0–2 years of experience in:
    • GMP environment, validation, IT, or quality (internships or co-ops acceptable)
  • Exposure to computer systems or regulated environments is a plus

Technical Skills

  • Basic understanding (or willingness to learn):
    • GxP regulations
    • Data Integrity (ALCOA+)
    • CSV/CSA concepts
  • Familiarity with:
    • Microsoft Office (Excel, Word, PowerPoint)
  • Exposure to GxP systems (SAP, LIMS, etc.) is a plus but not required

Preferred Qualifications

  • Internship experience in pharmaceutical, biotech, or regulated industries
  • Basic knowledge of validation lifecycle or system documentation
  • Exposure to audit or compliance activities

At Validation & Engineering Group, people always come first. We believe that when you're empowered to do your best work, bold ideas thrive and real progress happens. This isn't just a job - it's an opportunity to make a meaningful difference by shaping the future of healthcare and technology alongside a purpose-driven, supportive team.
Excited to build something meaningful together? We look forward to hearing from you.
Validation & Engineering Group is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.