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Chemical Data Scientist Jobs in Puerto Rico (NOW HIRING)

... Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance ... Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ...

New

Data Scientist

Juncos, PR · On-site

$90 - $120/hr

... Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance ... Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ...

New

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Juncos, Puerto Rico | Posted on 08/13/2026 We are seeking Sr Data Scientist, with knowledge of ... Chemical Engineering, Biomedical Engineering, Biotechnology, Manufacturing Engineering, or a ...

Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical ... Data analytics and visualization. * Ability to collect, organize, clean, analyze, and interpret ...

Sr Data Scientist 35618

Juncos, PR · On-site

$90 - $130/hr

Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical ... However, candidates from science, or data-focused backgrounds may also be strong fits if they ...

The Data Scientist will lead projects and collaborate with business partners including commercial ... Industrial Engineering, Systems Engineering, Computer Science, Chemical Engineering, Biomedical ...

PR

$89K - $122K/yr

A degree in Mechanical Engineering, Chemical Engineering, Biomedical Engineering, Bioprocess ... Ability to analyze manufacturing data, identify process trends, and recommend scientifically sound ...

PR

$89K - $122K/yr

... Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance ... Provides input to new processes to generate robust and reliable data. Functions as a lead ...

PR · On-site

  • Medical

  • Dental

  • Vision

Evaluate process data, identify risks or gaps, and implement scientifically sound solutions ... Bachelor's degree in Chemical Engineering, Biochemistry, Biotechnology, Pharmaceutical Sciences, or ...

... Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance ... Understand, justify, and document the state of process validation with data that evaluates the ...

PR · On-site

... Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance ... Understand, justify, and document the state of process validation with data that evaluates the ...

... Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance ... Understand, justify, and document the state of process validation with data that evaluates the ...

PR · On-site

... Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance ... Understand, justify, and document the state of process validation with data that evaluates the ...

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Chemical Data Scientist information

What is the difference between Chemical Data Scientist vs Chemical Engineer?

AspectChemical Data ScientistChemical Engineer
Required CredentialsTypically requires a degree in data science, computer science, or chemistry with data analysis skillsRequires a degree in chemical engineering or chemistry, often with professional engineering licensure
Work EnvironmentPrimarily in data analysis, modeling, and software development settings, often in R&D or tech companiesIn manufacturing, process design, and plant operations within chemical industries
Industry UsageUsed in research, product development, and process optimization involving large datasetsApplied in designing chemical processes, scaling production, and ensuring safety standards

The main difference is that Chemical Data Scientists focus on analyzing chemical data using advanced analytics and machine learning, while Chemical Engineers apply engineering principles to design and operate chemical processes. Both roles are vital in the chemical industry but serve different functions based on their skill sets and work environments.

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

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

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

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

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

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

Infographic showing various Chemical Data Scientist job openings in Puerto Rico as of August 2026, with employment types broken down into 56% Full Time, 13% Part Time, and 31% Contract. Highlights an 100% In-person job distribution.

Full-time

Posted 3 days ago

New


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:

  • Data Scientist

Description:

SUMMARY
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.
FUNCTIONS
1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization.
2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
3. Taking the initiative and work independently with minimal supervision
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
6. Working with SQL and other DB query languages
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
EDUCATION

  • Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR


COMPETENCIES/SKILLS
1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
2. Experience leading the projects and in executions of the projects end to end
3. Experience with databases including relational, SQL, and Graph
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
7. Excellent organization/planning skills and talent for managing many large and complex datasets
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
11. Passion for learning and staying on top of current developments in advanced analytics.
12. Biotech / Pharma experience

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.