9 Ofertas de Ciencia Datos en Costa Rica

We are looking for a skilled and motivated Senior Machine Learning Engineer to join our team and contribute to the development of our clients' cutting-edge personalization and recommendation systems.

This role is ideal for a hands-on engineer who is passionate about building and deploying sophisticated ML models that have a direct impact on user experience. You will work on the end-to-end ML lifecycle, from data to deployment, with a focus on advanced techniques like Graph Neural Networks (GNNs) and hybrid Generative AI systems.

About First Factory

We are a software development company with over two decades of experience, boasting a dynamic team of 180+ professionals actively engaged in diverse projects across various industries. We invite you to join us on this journey as we thrive and embrace fresh challenges.

Key Responsibilities

• Design, build, and maintain scalable machine learning models for personalization and recommendation.
• Implement and experiment with advanced algorithms, including Graph Neural Networks (GNNs) and candidate selection models.
• Contribute to the development of hybrid systems that integrate traditional ML models with Large Language Models (LLMs).
• Collaborate with cross-functional teams, including product, engineering, and data science, to define requirements and deliver solutions.
• Participate in the entire ML lifecycle, from data preprocessing and feature engineering to model training, deployment, and monitoring.
• Write clean, maintainable, and well-tested code for ML models and pipelines.
• Stay up-to-date with the latest advancements in machine learning and actively contribute to the team's technical growth.

Requirements

• 5+ years of professional experience in machine learning or a related field.
• Strong programming skills in Python and experience with common ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Hands-on experience building and deploying machine learning models in a production environment.
• Experience with personalization, recommendation systems, or a similar area.
• Solid understanding of machine learning concepts and algorithms.
• Experience with at least one major cloud platform (GCP, AWS, Azure).

Nice to have

• Experience with Graph Neural Networks (GNNs).
• Experience with Generative AI and Large Language Models (LLMs).
• Experience with MLOps tools and practices.
• Experience with big data technologies like Spark.
• Master's degree or PhD in Computer Science, Machine Learning, or a related field.

We are seeking an expert Principal Machine Learning Engineer to lead the development of our Client's next-generation personalization and recommendation systems. This is a senior, hands-on leadership role focused on designing and implementing sophisticated ML models to drive user engagement. You will be responsible for the end-to-end ML lifecycle, from defining the technical approach to building and deploying cutting-edge models, including Graph Neural Networks (GNNs) and hybrid Generative AI systems.

The ideal candidate will not only possess deep technical expertise but also have a proven ability to lead technical strategy, mentor team members, and influence team dynamics.

About First Factory

We are a software development company with over two decades of experience, boasting a dynamic team of 180+ professionals actively engaged in diverse projects across various industries. We invite you to join us on this journey as we thrive and embrace fresh challenges.

Key Responsibilities

• Lead the architectural design and development of highly scalable personalization and recommendation engines.
• Research, build, and implement advanced machine learning models, including Graph Neural Networks (GNNs) for complex relationship modeling and sophisticated candidate selection algorithms.
• Pioneer the integration of Generative Al, architecting hybrid systems that combine traditional ML models with Large Language Models (LLMs) to create novel user experiences.
• Define the technical roadmap and ML strategy, making key decisions on frameworks, tools, and methodologies.
• Drive the integration and consolidation of multiple ML models into a cohesive and efficient production system.
• Mentor and guide other ML engineers, fostering a culture of technical excellence and innovation.
• Oversee the entire ML lifecycle, including data processing, model training, deployment, monitoring, and continuous improvement.

Requirements

• 8+ years of experience in machine learning or software engineering, with a strong portfolio of deployed production models.
• Proven experience leading the technical direction of complex ML projects and mentoring engineers.
• Deep expertise in designing and building personalization and recommendation systems from the ground up.
• Hands-on experience with advanced modeling techniques, specifically including Graph Neural Networks (GNNs).
• Demonstrated experience with Generative Al and the practical application of Large Language Models (LLMs) in a hybrid system.
• Expert-level proficiency in Python and associated ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn).
• Strong foundation in MLOps, including model deployment, automation, and monitoring in a major cloud environment (GCP, AWS, or Azure).

Nice to have

• MS in Computer Science, Statistics, or a related quantitative field.
• Publications in top-tier machine learning conferences (e.g., NeurlPS, ICML, KDD, RecSys).
• Experience with large-scale data processing frameworks such as Apache Spark.
• Familiarity with vector databases (e.g., Pinecone, Milvus) and retrieval systems.
• Experience with specific GNN frameworks like PyTorch Geometric (PyG) or Deep Graph Library (DGL).

Description
The Prime Air team is looking for an experienced Machine Learning Data Analyst who enjoys working on data processing tasks that will work to ensure the continuous functioning of our systems. Insisting on the highest standards is an important part of our day-to-day work as we focus on accuracy of work, metrics, and quality improvement. The selected candidate must be capable of independently delivering high quality work under the given time frames.

We look for someone who is detail-oriented and able to learn and adapt quickly to support the team on meeting our weekly goals. As well as the ability to multitask across several domains and work independently.

Our organization strives to coordinate and balance tasks as per our customer's current demands, perform basic quality audits, identify root cause for failures and gaps, adapt quickly to changing specifications and work with Process Leads and stakeholders to improve processes.

Key job responsibilities

As a Data Associate some of your responsibilities will be, but not limited to:

• Be the go-to expert for our ML data team, guiding others on how to collect and label data correctly while managing various projects
• Help create high-quality training data for our ML models by carefully reviewing and labeling complex data examples
• Create and update clear instructions and guidelines that help our team work consistently and efficiently
• Monitor and improve the quality of our data by tracking important measurements and finding ways to make our processes better
• Work closely with engineers, scientists, and project managers to improve how we handle and process data
• Solve complex problems by finding their root causes and implementing lasting solutions
• Help make our tools and processes more efficient, often through automation
• Keep projects on track by coordinating with team members and clearly communicating progress
• Lead initiatives to make our workflows better and more efficient, helping the team adopt best practices
• Support our ML team by helping improve how our algorithms work and making sure they meet quality standards

About The Team
At Amazon Prime Air, we're solving a unique challenge: delivering packages to customers in under an hour using autonomous delivery drones. Our mission combines safety, efficiency, and scalability to revolutionize last-mile delivery.

Our diverse team of scientists, engineers, and aerospace experts is actively developing and operating delivery services in select locations. We're looking for talented individuals to join us as we expand our operations and enhance our delivery capabilities.

Learn more about our recent developments and progress on Amazon's About Amazon blog:

Basic Qualifications

• English language proficiency (written and spoken)
• 2+ years experience in Machine Learning and/or Data Labeling annotation activities.
• Working experience with digital visual content and/or machine learning activities, such as using image/video annotation tools, creating annotation guidelines for visual datasets, etc.
• Proficient in Microsoft Excel with intermediate-level skills, including experience with data analysis, formulae, and data visualization.
• Familiarity with database management systems.

Preferred Qualifications

• Bachelor's degree in process or completed in Computer Science, IT, Business Administration, Industrial Engineering, Visual/Graphic Design or Audiovisual Production or related field.
• Working experience in Linux systems administration skills.
• Experience with Kaizen or other process improvement methodologies.
• Experience troubleshooting complex systems.
• Working exposure to 3D modeling, and/or gaming development.
• Strong problem-solving and analytical thinking abilities.
• Excellent communication and documentation skills.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company
- Amazon Support Services Costa Rica SRL

Job ID: A

About the Role

We are seeking a highly motivated Data Science Specialist to join our team. This role will focus on designing, developing, and implementing data-driven solutions that support decision-making across the organization. The ideal candidate combines strong technical expertise with business acumen, translating complex datasets into actionable insights that drive growth and efficiency.

Key Responsibilities

• Collect, clean, and analyze large structured and unstructured datasets to identify patterns, trends, and opportunities.
• Develop, implement, and optimize predictive models, machine learning algorithms, and statistical analyses.
• Partner with business units to understand challenges, translate them into analytical problems, and deliver clear, actionable solutions.
• Create dashboards, visualizations, and automated reports to communicate insights effectively to technical and non-technical stakeholders.
• Ensure data quality, governance, and integrity across multiple systems.
• Stay up to date with emerging data science tools, methodologies, and best practices.

Qualifications

Education & Experience

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
• 2+ years of proven experience in data analysis, data science, or related roles.

Technical Skills

• Strong proficiency in Python and/or R for data analysis and modeling.
• Experience with SQL and relational databases.
• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Power BI, Tableau, or similar).
• Solid understanding of statistics, probability, and hypothesis testing.

Soft Skills

• Strong problem-solving and critical thinking skills.
• Excellent communication skills with the ability to explain complex concepts simply.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• Experience with big data technologies (Hadoop, Spark, etc.).
• Cloud computing exposure (AWS, GCP, or Azure).
• Knowledge of data engineering principles and ETL pipelines.
• Experience with NLP, computer vision, or other advanced machine learning techniques.

What We Offer

• Competitive compensation and benefits package.
• Opportunities for professional growth and continuous learning.
• A collaborative, innovative, and data-driven culture.

TransUnion's Job Applicant Privacy Notice

What We'll Bring
What we'll bring:

• A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
• Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
• Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.
• We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.
• Our Data Science and Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we'll appreciate them.

What You'll Bring
What you'll bring:

• Master's degree in statistics, economics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field with at least three (3) year of relevant professional experience; or a Bachelor's degree in a quantitative field with at least five (5) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
• Demonstrated ability to build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
• Strong analytical, critical thinking, and creative problem-solving skills.
• Advanced programming skills and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages and big data platforms (SQL, Hive, Spark, C/C++, Java); high level of familiarity with Microsoft Office tools.
• Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment; evidence of initiative-taking.
• Strong project and time management skills with the ability to manage multiple assignments effectively.
• Experience in data visualization methods and tools.
• Strong storytelling skills.
• Interest in internal and external consulting and ability to travel 10-20%

Impact You'll Make
What we'd prefer to see:

• Familiarity with identity, fraud, security, or credit bureau data and solutions.
• Experience and demonstrated success in applying predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications over a period of at least one (1) year; experience building analytical solutions that deliver value and create competitive advantage.
• The desire to work on full-stack data science solutions and engage in continuous learning.
• Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.
• Knowledge of various ETL techniques and frameworks.
• Work experience in industries served by TransUnion, such as financial services, insurance, and digital marketing.

Impact You'll Make
This position is a 4 months contract (until Dec 31st, 2025) , and during this time you will be responsible for supporting the development of analytic solutions through consulting engagements for TransUnion's clients across a broad array of credit, fraud, insurance and marketing business applications.

You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include –among others- the development of predictive models, new business rules, and device and other identity solutions of broad scope and complexity for customers within the various industries served by TransUnion.

You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design to development, to peer review, to client presentation, to implementation and audit, with a high degree of autonomy and limited supervision.

You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services and develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion, applying your practical analytic experience to find areas of new value of TransUnion customers. In the context of these opportunities, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed.

You will design, write, and test programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.

You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.

TransUnion Job Title

Consultant, Data Science and Analytics

Sobre Urbania

En
Urbania
desarrollamos proyectos residenciales sostenibles, orientados al
bienestar integral
y con la promesa de ofrecer el
mayor valor por metro cuadrado
. Nuestra misión es
desarrollar calidad de vida
, y nuestra visión es
liderar el futuro de la forma en que vivimos
, convirtiéndonos en la empresa número uno en desarrollo inmobiliario con
calidad, bienestar e innovación

Propósito del puesto

Buscamos un(a)
Head of Data & Analytics
que lidere la transformación digital de Urbania. Será responsable de
diseñar, implementar y consolidar el departamento de tecnología y datos
, asegurando que la estrategia de analítica y machine learning genere impacto directo en el negocio.

El rol requiere un balance entre
estrategia, ejecución técnica y liderazgo de equipo
, actuando como puente entre el mundo técnico y las decisiones de negocio.

Responsabilidades

• Liderar y consolidar el
  departamento de Data & Technology
  .
• Diseñar y optimizar la
  arquitectura en la nube (AWS, GCP, Azure)
  .
• Implementar soluciones de
  Machine Learning y GenAI
  aplicadas al negocio.
• Ser el puente entre lo
  técnico y lo estratégico
  , impulsando decisiones data-driven.
• Medir y optimizar
  KPIs de producto y negocio
  .

Requisitos

• Profesional en
  Ingeniería, Computación, Matemáticas, Estadística
  o campos afines.
• +7 años de experiencia en
  analítica, ciencia de datos, ingeniería de datos
  o roles relacionados.
• Experiencia liderando equipos multidisciplinarios y proyectos de
  transformación digital
  .
• Dominio de
  SQL, Python, R
  y frameworks de ML (scikit-learn, TensorFlow, PyTorch).
• Experiencia con
  plataformas cloud (AWS, GCP o Azure)
  .
• Conocimientos en
  MLOps, orquestación de pipelines (Airflow, Prefect, Luigi)
  .
• Experiencia aplicando
  GenAI
  en entornos productivos.
• Capacidad de
  traducir datos en insights de negocio
  claros y accionables.

KPIs Clave

• Cloud & Cost Management
  : arquitectura escalable en la nube con control de costos y eficiencia en despliegues.
• GenAI Adoption
  : integración de IA generativa aplicada a procesos y productos de Urbania.
• Product Value KPIs
  : maximización del valor del producto a través de analítica avanzada y machine learning.
• Department Consolidation
  : creación y liderazgo del área de tecnología y datos como motor de la estrategia corporativa.
• Business-Technical Bridge
  : efectividad como traductor entre lo técnico y el negocio, asegurando impacto real en decisiones estratégicas