Data Scientist

• Support the development and implementation of statistical, machine learning, and AI models to improve product development, pricing strategies, and customer experiences.
• Contribute to the design, refinement, and continuous improvement of rule based and analytical decision support logic used in pricing and commercial processes.
• Stay abreast of relevant research and industry developments and help the team prototype and evaluate new data science and AI techniques, including responsible use of generative AI where appropriate.
• Collaborate closely with cross functional teams (data science, data engineering, pricing, and business partners) to identify opportunities where analytics and AI can deliver measurable value.
• Partner with pricing, sales, and business stakeholders to translate commercial policies, objectives, and constraints into analytically sound and explainable solutions.
• Analyze historical and transactional data to calibrate recommendations, validate outcomes, identify edge cases, and assess business impact across markets.
• Communicate findings, recommendations, and tradeoffs through clear documentation, presentations, and visualizations, tailoring insights to both technical and non-technical audiences.
• Follow established practices for data privacy, security, and responsible AI; proactively raise risks, assumptions, and questions and partner with the team to address them.

Junior Data Scientist

• Apply rigorous analytical thinking and modern AI capabilities to design, build, and scale high-impact solutions
• Design, develop, and deploy GenAI-powered internal applications, copilots, and workflow accelerators
• Build reusable AI components, including retrieval pipelines, structured prompting patterns, orchestration workflows, and evaluation harnesses
• Design retrieval strategies that connect LLMs to trusted internal knowledge sources, ensuring grounded and reliable outputs
• Develop and maintain statistical and machine learning models to support automation, optimization, forecasting, and classification use cases
• Implement evaluation and validation frameworks to measure quality, accuracy, and consistency of AI-driven systems
• Partner cross-functionally to identify high-value opportunities for AI enablement across the organization
• Create reusable datasets, feature pipelines, and experimentation frameworks to support iterative development
• Uphold high standards for quality, reliability, and responsible AI practices
• Contribute to peer review processes to ensure technical rigor and maintainability
• Document methodologies, assumptions, and implementation details to ensure transparency and reproducibility

Senior Data Scientist

• Work on well-defined analytical tasks with guidance
• Build strong foundations in data science and analytics
• Deliver high-quality, reliable analytical outputs that support business decision-making
• Contribute to the execution of data-driven initiatives by working on data preparation, analysis, and validation
• Apply statistical and analytical techniques to solve business problems under guidance
• Support the development of scalable and repeatable analytical processes
• Collaborate with cross-functional teams to understand business context and align solutions with organizational goals
• Communicate insights and findings through clear documentation and presentations

Data Scientist jobs in Costa Rica

See all jobs on JobTailor

Junior Data Scientist

Senior Data Scientist

Data Science and Analytics Analyst