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Data Science Degree Jobs in Puerto Rico (NOW HIRING)

RTX

Data Analytics Engineer (Puerto Rico)

Santa Isabel, PR · On-site +1

$103K - $124K/yr

Together, we push the boundaries of known science and find new ways to connect and protect our ... A University Degree or equivalent experience and minimum 8 years prior relevant experience, or an ...

Validation & Engineering Group, Inc

PR · On-site

$89K - $122K/yr

Bachelor's degree with 5+ years of relevant scientific experience. * A degree in Mechanical ... Ability to analyze manufacturing data, identify process trends, and recommend scientifically sound ...

FITS LLC

Process Development Scientist-03

Juncos, PR · On-site

Bachelor's Degree with four (4) years of experience as a Scientist within the pharmaceutical or ... Process monitoring, data trending, and statistical analysis tools. * Deviations, investigations ...

FITS LLC

Process Development Scientist -04

Juncos, PR · On-site

Bachelor's Degree with four (4) years of experience as a Scientist within the pharmaceutical or ... Process Development Laboratory Sample Testing and Data Collection. The Personality Part: * Picture ...

Validation & Engineering Group, Inc

PR · On-site

Understand, justify, and document the state of process validation with data that evaluates the ... Bachelor's degree (minimum) in scientific disciplines of Chemistry, Pharmacy, or Engineering. * 5+ ...

Validation & Engineering Group, Inc

PR · On-site

Understand, justify, and document the state of process validation with data that evaluates the ... Bachelor's degree (minimum) in scientific disciplines of Chemistry, Pharmacy, or Engineering. * 5+ ...

Validation & Engineering Group, Inc

PR

Understand, justify, and document the state of process validation with data that evaluates the ... Bachelor's degree (minimum) in scientific disciplines of Chemistry, Pharmacy, or Engineering. * 5+ ...

Validation & Engineering Group, Inc

PR · On-site

Understand, justify, and document the state of process validation with data that evaluates the ... Bachelor's degree (minimum) in scientific disciplines of Chemistry, Pharmacy, or Engineering. * 5+ ...

Validation & Engineering Group, Inc

PR

Understand, justify, and document the state of process validation with data that evaluates the ... Bachelor's degree (minimum) in scientific disciplines of Chemistry, Pharmacy, or Engineering. * 5+ ...

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All JobsData Science Degree JobsData Science Degree Jobs in Puerto Rico

Data Science Degree information

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

What are popular job titles related to Data Science Degree jobs in Puerto Rico?

For Data Science Degree jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Data Science Degree jobs in Puerto Rico look for?

The top searched job categories for Data Science Degree jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Data Science Degree jobs?

Cities in Puerto Rico with the most Data Science Degree job openings:

Data Science Degree jobs near you

Analyst, Information Technology (Data Engineer)

Oriental Financial Services LLC

San Juan, PR • On-site

$112K - $134K/yr

Full-time

Re-posted 7 days ago

Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.
MAIN DUTIES & RESPONSIBILITIES:
  • Design, develop, and maintain ELT/ETL pipelines for batch and event-driven data ingestion using Snowflake and AWS.
  • Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
  • Develop scalable data processing solutions using SQL and Python.
  • Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
  • Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
  • Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
  • Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
  • Support production deployments using Git-based version control, CI/CD pipelines, and infrastructure-as-code practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • Three (3)+ years of professional experience in Data Engineering or a related role required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong hands-on experience with Snowflake, including data ingestion, transformations, and performance optimization.
  • Experience working within AWS cloud environments, particularly with S3 and serverless services.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Proficiency in Python for data processing and pipeline automation.
  • Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
  • Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:
  • Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
  • Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
  • Exposure to streaming or near-real-time data (Kafka, Kinesis, or event-driven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:
  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)
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