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

PR · On-site

$89K - $122K/yr

Provides input to new processes to generate robust and reliable data. Functions as a lead scientific / technical resource or as a project leader. FUNCTIONS 1. Independently monitors or conducts ...

PR

$89K - $122K/yr

Provides input to new processes to generate robust and reliable data. Functions as a lead scientific / technical resource or as a project leader. FUNCTIONS 1. Independently monitors or conducts ...

PR · On-site

Provides input to new processes to generate robust and reliable data. * Ensures that studies are ... Keeps current in field of scientific expertise and areas relevant to their function. * Monitors ...

SAP Data Engineer (Puerto Rico)

Santa Isabel, PR · Hybrid

$103K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Together, we push the boundaries of known science and find new ways to connect and protect our ... This role is responsible for building scalable data models, ensuring high-performance data ...

Data Analytics Engineer (Puerto Rico)

Santa Isabel, PR · On-site +1

$103K - $124K/yr

  • Medical

  • Life

  • Retirement

Together, we push the boundaries of known science and find new ways to connect and protect our ... The Data & Insights team in RTX Corporate is seeking a Data Analytics Engineer to develop reliable ...

Sr. Data Analyst (Puerto Rico)

Santa Isabel, PR · Remote

$77K - $97K/yr

  • Medical

  • Life

  • Retirement

Together, we push the boundaries of known science and find new ways to connect and protect our ... Ensure data accuracy and consistency across reporting resources * Identify trends, risks and ...

Showing results 21-40

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:

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.

ZL01-072126 Process Development Sr Scientist

Validation & Engineering Group, Inc

PR • On-site

$89K - $122K/yr

Full-time

Posted 28 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 ethical standards for the following position:

  • Process Development Sr Scientist

Education:

  • Doctorate (PhD, PharmD, or MD) with relevant postdoctoral experience where applicable; or
  • Master's degree with 3+ years of relevant scientific experience; or
  • Bachelor's degree with 5+ years of relevant scientific experience.
  • A degree in Mechanical Engineering, Chemical Engineering, Biomedical Engineering, Bioprocess Engineering, Pharmaceutical Sciences, Biotechnology, Biology, Microbiology, or a related scientific discipline is highly preferred.

Attributes:

  • Experience supporting sterile drug product manufacturing within the pharmaceutical or biotechnology industry.
  • Hands-on experience with aseptic filling operations, process characterization, process validation (PPQ), technology transfer, and commercial process support.
  • Experience authoring and executing validation protocols, characterization studies, technical reports, investigations, and change controls.
  • Strong knowledge of GMP requirements, aseptic processing principles, contamination control strategy, and pharmaceutical quality systems.
  • Experience performing statistical analysis using JMP or Minitab and applying data-driven approaches to process optimization.
  • Ability to analyze manufacturing data, identify process trends, and recommend scientifically sound solutions.
  • Experience working in cross-functional teams with Manufacturing, Quality, Engineering, Regulatory, and Technical Services.
  • Strong technical writing, communication, presentation, and project management skills.
  • Ability to independently manage multiple projects in a fast-paced manufacturing environment while supporting commercial readiness and continuous process improvement.
  • Experience with single-use technologies, filling equipment, and sterile manufacturing operations is highly desirable.

SUMMARY
To independently conceive, design, implement and advance scientific experiments, which contribute to the successful completion of goals and/or projects. Interprets experimental strategies or leads these activities. Provides input to new processes to generate robust and reliable data. Functions as a lead scientific / technical resource or as a project leader.
FUNCTIONS
1. Independently monitors or conducts experiments, studies, or a series of experiments/studies to advance projects or technologies
2. Provides advanced data analysis and interpretation, and assesses impact of data on the project and makes recommendations
3. Expands knowledge-seeking beyond core area of expertise
4. Identifies relevant external competitive knowledge
5. Independently prepares new and novel protocols/experimental design
6. Key contributor to an independent research/project team
7. Initiates productive collaborations outside of the department or company
8. Introduces new or advanced technologies and/or concepts
9. May contribute to scientific journal articles or complex technical documents as lead author
10. Leads department-wide support efforts such as safety, recruiting and committees
11. Develops supervisory and mentoring skills
12. Makes proactive decisions that contribute to the achievement of milestones
13. Plans detailed procedures for defined projects, including timelines, milestones, methodological approaches, expected results and necessary resources.

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.