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Junior Data Scientist Jobs in Puerto Rico (NOW HIRING)

Boston Scientific

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Junior Data Scientist information

What is a junior data scientist?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.

What skills and qualifications are needed to thrive as a junior data scientist?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects does a junior data scientist typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

How do I become a junior data scientist?

To become a junior data scientist, you typically need a bachelor's degree in a related field such as computer science, statistics, or mathematics. Gaining skills in programming languages like Python or R, understanding data analysis, and familiarity with tools like SQL and machine learning frameworks are essential. Internships or entry-level projects can also help build practical experience.

What are the most commonly searched types of Data Scientist jobs in Puerto Rico?

The most popular types of Data Scientist jobs in Puerto Rico are:

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

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

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

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

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

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

Junior Data Scientist jobs near you
Infographic showing various Junior Data Scientist job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Analyst II (Hybrid - Aguadilla, PR)

Raytheon Technologies

Aguadilla, PR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Date Posted:
2026-08-13
Country:
United States of America
Location:
US-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance:
None/Not Required
At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.
Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.
This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered.
This role is categorized as hybrid, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.
What YOU will do:
  • Perform end-to-end data processes, including data collection, curation, analysis, and visualization.
  • Develop, automate, and optimize data pipelines to transform raw data into actionable insights.
  • Perform data quality checks to ensure accuracy and reliability of the data.
  • Write and maintain scripts/macros in Python to support data analytics processes.
  • Generate and execute database DDL (Data Definition Language) and DML (Data Manipulation Language) operations.
  • Conduct statistical analyses to identify data patterns, outliers or inconsistencies across the data set.
  • Collaborate with cross-functional teams to gather insights, refine requirements, and align product goals with team efforts.
  • Participate in Agile sprints, owning user stories, backlog items, and deliverables.
  • Support investigations and continuous improvement initiatives by leveraging digital thread and enterprise data resources.
  • Prepare technical documentation, presentations, and reports to effectively communicate insights and recommendations to both technical and non-technical audiences.
  • May require occasionally travel domestically and/or internationally to support project requirements.
  • Perform other duties as required.

What YOU will learn:
  • You will learn about our growing engineering team in Puerto Rico; What we do? Who we support? How we work?
  • You will learn the technologies of today and tomorrow which we count on to maintain world leadership in the aerospace industry.
  • You will learn why people enjoy and feel fulfilled by working in our industry.

Qualifications you must have:
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and 2 years prior relevant experience or an Advanced Degree in a related field.
  • Demonstrated professional experience communicating in English (verbal and written).
  • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Qualifications We Prefer:
  • Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field.
  • Hands-on experience with Python for data analysis (e.g., NumPy, Pandas, PySpark).
  • Proficiency in extracting, transforming, and loading (ETL) data from various sources.
  • Intermediate experience with SQL and relational databases for querying and data manipulation.
  • Experience in aerospace, defense, or related industry.
  • Experience working in Agile teams and familiarity with Agile methodologies.
  • Expertise in building data pipelines and automating analytics processes.
  • Proficiency with data visualization tools such as Tableau or similar software.
  • Familiarity with ontology-based modeling of business domains and enterprise data architecture.
  • Knowledge of statistical methods and machine learning techniques.

What We Offer
Some of our competitive benefits package includes:
  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds
  • Participation in the Employee Scholar Program (ESP)
  • Life insurance and disability coverage
  • Employee Assistance Plan, including up to 8 free counseling sessions.
  • And more!

Learn More & Apply Now!
Collins Aerospace, an RTX business, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers' toughest challenges and to meet the demands of a rapidly evolving global market.
Join our growing engineering team in Puerto Rico, where you will provide critical support to all Collins SBUs, working on exciting programs and projects ranging from the development of the next generation of advanced concept ejection seats to the latest technologies for the U.S. warfighter.
WE ARE REDEFINING AEROSPACE.
* Please consider the following role type definition as you apply for this role.
Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.
Apply now and be part of the team that's redefining aerospace, every day.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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