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

Validation & Engineering Group, Inc

PR

$59K - $60K/yr

This entry-level role focuses on learning and applying validation principles, supporting risk-based ... Follow procedures aligned with 21 CFR Part 11, EU Annex 11, and Data Integrity requirements.

Validation & Engineering Group, Inc

PR

$57K - $58K/yr

This entry-level role focuses on learning and applying validation principles, supporting risk-based ... Follow procedures aligned with 21 CFR Part 11, EU Annex 11, and Data Integrity requirements.

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 ...

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

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 ...

AbbVie

PR · On-site

... science theories, concepts, and techniques within the discipline. Investigates, conducts tests, gathers data, performs preliminary analysis, report findings, and prepares and communicates ...

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 Scientist JobsEntry Level Data Scientist Jobs in Puerto Rico

Entry Level Data Scientist information

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
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What cities in Puerto Rico are hiring for Entry Level Data Scientist jobs? Cities in Puerto Rico with the most Entry Level Data Scientist job openings:
Entry Level Data Scientist jobs near you

Associate CSV - Periodic Review Scientist

Validation & Engineering Group, Inc

PR

$59K - $60K/yr

Full-time

Posted 16 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.