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Data Analyst Data Science Jobs in Puerto Rico (NOW HIRING)

Hewlett Packard Enterprise

Cloud Data Engineer

Aguadilla, PR · Hybrid

$102K - $122K/yr

Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns * Work with a team of data scientists, domain experts, architects and ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Juan, PR · Hybrid

$112K - $134K/yr

Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns * Work with a team of data scientists, domain experts, architects and ...

PharmEng Technology Americas

PR · On-site

Ensure the accuracy and completeness of data across multiple platforms through analysis, auditing ... Bachelor's degree in computer science, information technology, or related field * 3-5 years ...

Xtillion

AI Engineer Senior Associate

San Juan, PR · On-site

$120K - $158K/yr

Whether your background is in software engineering, data science, machine learning engineering, or ... analytical systems * Drive model evaluation, prompt engineering, data preparation, and system ...

Pwc

ERP AI Engineer - Manager

San Juan, PR

$99K - $232K/yr

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

On Point Strategy LLC

PR · On-site

$16.25 - $21.25/hr

Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Puerto Rico

Data Analyst Data Science information

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Puerto Rico? For Data Analyst Data Science jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Puerto Rico look for? The top searched job categories for Data Analyst Data Science jobs in Puerto Rico are:
Data Analyst Data Science jobs near you
Senior Engineer, Data Science & Analytics (Hybrid - Aguadilla, PR)

Senior Engineer, Data Science & Analytics (Hybrid - Aguadilla, PR)

Raytheon Technologies

Aguadilla, PR • On-site

$109K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Date Posted:
2026-06-18
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's 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.
Collins Aerospace has an exciting opportunity for a talented Data Analytics and Methods Engineer to join our team. In this role, you will leverage your statistical expertise and data analysis skills to support the product lifecycle, drive data-driven insights, and optimize our product management strategies. You will also lead initiatives to train and test predictive models, implement machine learning algorithms, and develop innovative solutions for complex challenges. This position offers the opportunity to work on cutting-edge technologies within the aerospace industry, collaborating with global cross-functional teams to deliver impactful, data-driven outcomes.
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:
  • Lead the analysis, modeling, and explanation of data to produce actionable analytical results and drive strategic decision-making.
  • Perform end-to-end data processes, including data collection, curation (including testing and validation), analysis, and visualization.
  • Develop, automate, and optimize data pipelines to transform raw data into strategic insights that align with Collins Aerospace's objectives.
  • Establish standards, policies, and procedures for the development of analytical results and predictive models, ensuring scalability and consistency.
  • Write and maintain advanced scripts/macros in Python to support data analytics processes and mentor team members on coding best practices.
  • Conduct advanced statistical analyses to identify data patterns, outliers, or inconsistencies, while delivering innovative solutions.
  • Research and implement state-of-the-art machine learning libraries and algorithms for tasks such as supervised and unsupervised learning.
  • Research emerging technologies, prepare business cases, and lead initiatives to integrate these tools into organizational strategies.
  • Collaborate with cross-functional and international teams to gather insights, refine requirements, and align product goals with enterprise strategies.
  • Participate in Agile sprints, taking ownership of critical user stories, backlog items, and deliverables, while mentoring team members on Agile principles.
  • Support investigations and continuous improvement initiatives by leveraging digital thread and enterprise data resources to maximize operational efficiency.
  • Prepare and deliver technical documentation, presentations, and reports to effectively communicate insights and recommendations to both technical and non-technical audiences, influencing stakeholders at all levels.
  • May require occasional domestic and/or international travel to support cross-functional and global project requirements.

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 minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience
  • Demonstrated professional experience communicating in English across all levels of an organization (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:
  • Master's Degree in Data Science, Computer Science, Mathematics, or a related field.
  • Experience and technical expertise in aerospace, defense, or related industries, with the ability to align data strategies to industry-specific needs.
  • Proven hands-on experience with Python for data analysis (e.g., NumPy, Pandas, PySpark).
  • Proficiency in extracting, transforming, and loading (ETL) data from various sources with a strong understanding of data pipelines.
  • Intermediate experience with SQL and relational databases for querying and data manipulation.
  • Experience working in Agile teams and familiarity with Agile methodologies, including leading sprints and managing deliverables.
  • Expertise in building and optimizing data pipelines, automating analytics processes, and leveraging cloud platforms (e.g., AWS, Azure).
  • Advanced proficiency with data visualization tools such as Tableau, Power BI, or similar software, with a focus on storytelling through data.
  • Knowledge of advanced statistical methods, machine learning techniques, and hands-on experience with popular frameworks (e.g., TensorFlow, PyTorch).
  • Industry certifications such as AWS Certified Machine Learning, Google Professional Data Engineer, or related credentials are a plus.

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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