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Fulltime Data Science Jobs in Puerto Rico (NOW HIRING)

Lead and support teams of software and data engineers delivering AI-enabled systems in production ... Bachelor's degree in Computer Science, Software Engineering, or a related field * 6+ years of full ...

The candidate should poses a BS in Science, Engineering, Physics, Biology, Chemistry or related ... Advanced data trending and evaluation. * Ability to evaluate compliance issues. * Demonstrate the ...

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Strong computer proficiency, including Microsoft Office applications and data entry. * Ability to ...

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Strong computer proficiency, including Microsoft Office applications and data entry. * Ability to ...

Assess and recommend embedding intensity across teams (e.g., full-time support for firewall ... Data Protection * Cyber Design * Incident Response * Security Architecture * Business Partnership ...

This is a full-time on-site position based at our manufacturing facility Responsibilities may ... Operates related equipment; conducts tests and reports data in prescribed format. * Performs ...

This is a full-time on-site position based at our manufacturing facility Responsibilities may ... Operates related equipment; conducts tests and reports data in prescribed format. * Performs ...

PR · On-site

... data supporting global regulatory applications. Our manufacturing and development spaces are ... This position is full-time and on-site. Job Overview The Executive Administrative Assistant is ...

Showing results 21-40

Fulltime Data Science information

What is the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

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

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

Infographic showing various Fulltime Data Science 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.

Engineering Manager

Xtillion

San Juan, PR • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

About Xtillion
Xtillion is a fast-growing AI solutions firm helping organizations build, operationalize, and scale high-value AI systems. We deliver end-to-end solutions, from design to deployment in real-world environments, combining deep data expertise with a strong focus on measurable business impact.
Based in San Juan, Puerto Rico, Xtillion partners with organizations across U.S. industries to solve complex, high-impact business problems. We invest in our people and offer opportunities to work on technically challenging, customer-facing systems that directly influence client success.
About the Role
We're looking for an Engineering Manager to lead teams building and deploying AI-powered, production-grade software systems directly into customer environments.
In this role, you'll operate at the intersection of technical leadership and client engagement. You'll be responsible for guiding engineers through ambiguous problem spaces, ensuring high-quality execution, and maintaining strong alignment between business objectives and technical solutions.
This position is ideal for leaders who enjoy being hands-on when needed, working closely with clients, mentoring engineers, and owning the successful delivery of complex, real-world systems.
What You'll Do
  • Lead and support teams of software and data engineers delivering AI-enabled systems in production
  • Own the technical execution and delivery of client-facing projects, ensuring quality, reliability, and outcomes
  • Collaborate with cross-functional teams to translate business needs into production-ready systems
  • Guide system and solution design across infrastructure, backend services, data platforms, and AI workflows
  • Provide technical mentorship and coaching to engineers through problem solving sessions, code reviews, design discussions, and regular feedback
  • Balance short-term delivery needs with long-term system maintainability and scalability
  • Stay current with emerging AI and software technologies and apply them pragmatically to client solutions

What We're Looking For
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field
  • 6+ years of full-stack software engineering experience
  • 1-3 years of experience leading or managing technical teams
  • Demonstrated ability to set technical direction for client-facing initiatives, balancing delivery commitments, stakeholder expectations, and technical quality
  • Proven ability to lead client projects, build strong relationships, and deliver on-time results aligned with client goals.
  • Experience designing, building and maintaining production-grade systems in cloud environments (e.g., AWS, Azure, etc.)
  • Expertise in software engineering best practices, system design, and agile delivery methodologies
  • Experience with version control systems (e.g., GitHub) and CI/CD processes
  • Strong written and verbal English communication skills

Preferred Qualifications
  • Experience building or deploying AI-enabled systems, including LLM-based workflows (e.g., RAG, agentic systems, fine-tuning)
  • Experience with data-intensive systems, including ETL/ELT pipelines and analytical platforms
  • Experience with Infrastructure as Code (e.g., Terraform)
  • Experience with workflow orchestration (e.g., Airflow, AWS Step Functions)
  • Strong experience with SQL and relational or analytical data systems
  • Associate-level cloud architect certification (e.g., Azure Solutions Architect Associate, AWS Solutions Architect Associate, or equivalent)

Why Join Xtillion
At Xtillion, you'll take ownership of meaningful, production-grade systems and work on software that is relied upon in real-world environments. You'll join a fast-moving team where engineers influence technical direction and uphold strong engineering standards, supported by competitive compensation and meaningful opportunities for career growth.
Ready to Build What Matters?
Join Xtillion and be part of a collaborative team delivering real-world data and AI solutions at scale. If you're excited about taking ownership of complex systems and turning AI into measurable business outcomes, we'd love to hear from you!
Learn more at https://www.xtillion.com
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off and 401(k) plan.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact gguerrero@xtillion.com
Xtillion is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other basis protected by law. Employment at Xtillion is based solely on a person's merit and qualifications.