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Decision Engineer Jobs in Puerto Rico (NOW HIRING)

Quality - Quality Engineer I

Vega Baja, PR · On-site

$60K - $78K/yr

Quality Engineer I Position Description/Responsibilities: Entry-level to intermediate Quality ... Decision making: Able to make routine decisions with guidance and escalate complex issues ...

Quality - Quality Engineer I

Vega Baja, PR · On-site

$60K - $78K/yr

Quality Engineer I Position Description/Responsibilities: Entry-level to intermediate Quality ... Decision making: Able to make routine decisions with guidance and escalate complex issues ...

Design Automation Engineer II

Humacao, PR · On-site

  • Medical

  • Dental

  • Vision

This role will involve contributing to the design and programming of PLCs, assisting in the ... decision-making. This position is for a term contract supporting one of ECHO Consulting Group ...

May document engineering processes and specifications. Recommends formats responsive to technical ... decision-making. Leadership and Talent Management: May provide guidance, coaching and training to ...

PR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position will offer you the opportunity to direct technical decision making, in a project team environment with other engineers and designers involved in the design, modification, and analysis ...

Showing results 21-40

Decision Engineer information

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

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

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Decision Engineer jobs in Puerto Rico?

For Decision Engineer jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Decision Engineer jobs in Puerto Rico look for?

The top searched job categories for Decision Engineer jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Decision Engineer jobs?

Cities in Puerto Rico with the most Decision Engineer job openings:

Quality - Quality Engineer I

medplast

Vega Baja, PR • On-site

$60K - $78K/yr

Full-time

Posted 8 days ago


Job description

Quality Engineer I

 

Position Description/Responsibilities:

Entry-level to intermediate Quality Engineer responsible for providing technical support to manufacturing and quality systems under established procedures and moderate supervision. Applies basic to intermediate knowledge in Process and Quality Engineering to support the implementation, coordination, and follow-up of manufacturing methods and procedures.

Supports the delivery of high-quality products by assisting in the identification, investigation, and resolution of quality-related issues. Participates in-process analysis and improvement activities to enhance operational efficiency and product quality.

Position Authority:

This position has the authority to develop and analyze quality data and reports to support evaluation of compliance with internal and external standards. Provides recommendations for quality improvements and supports the implementation of corrective and preventive actions under guidance. Works collaboratively with cross-functional teams to support product and process quality, escalating issues as needed.

Essential Functions:

  • Perform quality support activities for assigned customer accounts and production areas under moderate supervision, ensuring compliance with procedures and timely issue escalation.
  • Support quality and manufacturing activities in compliance with GMP, SOPs, FDA and ISO requirements.
  • Develop, review and maintain quality documentation (control plans, FMEAs, specifications).
  • Execute reviewing / approval of any documentation created / updated by the Manufacturing Engineering department (or other) required to sustain the manufacturing process or quality systems.
  • Support validation activities (IQ/OQ/PQ) with approved protocols for sustaining projects.
  • Investigate nonconformances, customer complaints and participate in CAPA activities under guidance.
  • Support internal and external audits by preparing documentation and data.
  • Apply basic statistical and problem solving tools to support quality investigations.
  • Support manufacturing and quality personnel with training on procedures and documentation.
  • Support Operational Excellence (OPEX) projects (e.g., Lean, Six Sigma, Continuous Improvement) based on business needs, contributing to execution, data collection, and implementation of improvements.
  • Performs other duties, tasks, or projects at the direction of the immediate supervisor or other teammates.

Knowledge and Education:

  • Bachelor’s degree in Engineering or related discipline.
  • Bilingual English/Spanish – Intermediate English level, reading and listening comprehension, writing and oral expression.
  • Basic knowledge and application of statistical techniques (basic descriptive statistics).
  • Basic knowledge in root cause analysis tools.
  • Knowledge of Minitab statistical software is a plus.

Job Experience:

  • 0-3 years of experience in quality assurance, engineering, or a related role.
  • Experience implementing continuous improvement programs in manufacturing environment.

 

Skills and Competencies:

  • Good interpersonal skills and the ability to communicate orally and in writing.
  • Self-motivated.
  • Organized and able to manage multiple tasks and priorities.
  • Must be able to work and effectively communicate with others.
  • Highest ethical standards and professional integrity.
  • Able to work with minimum supervision.
  • Teamwork oriented.
  • Decision making: Able to make routine decisions with guidance and escalate complex issues appropriately.
  • Proactive
  • Discipline
  • Customer oriented
  • Team player
  • Diligent
  • Retentive
  • Good learner
  • Hands-on, collaborative, decisive.
  • Must be flexible and adapt to changing environments and priorities.
  • Problem Solving: Basic understanding of problem-solving methodology.
  • Metrology: Basic knowledge of measurement and error theory and measuring instruments and equipment.

Physical Requirements:

  • Regularly required to stand, walk, stop, kneel, crouch, and use hands to finger, handle or free objects.
  • Light physical activity performing non-strenuous, day-to-day activities of a primarily administrative nature.
  • Moderate lifting (20 lbs.), carrying (10 lbs.), bending, and prolonged sitting.

Equipment Used:

  • Standard office equipment, monitor, computer, printer. 
  • Software tools: Microsoft office, Minitab and others requires for function.
  • Company tools: ERP, Data collection, document change control.