Senior Data Science Engineer (AI)

TL;DR

Senior Data Science Engineer (AI/ML): Designing and implementing scalable data science, machine learning, and AI solutions to drive strategic decision-making and business impact with an accent on developing knowledge bases for RAG systems and AI agents. Focus on building data-driven applications and integrating LLMs into production systems.

Location: Office Based in Costa Rica

Company

Veeam is a global market leader in data resilience, providing data backup, recovery, portability, security, and intelligence solutions to over 550,000 customers worldwide.

What you will do

• Design and implement data science, machine learning, and AI solutions to support strategic decision-making.
• Perform deep-dive quantitative and qualitative analyses to validate business hypotheses and drive improvements.
• Contribute to cross-functional initiatives involving data science, ML, and AI engineering use cases.
• Develop knowledge bases from structured and unstructured data to support RAG systems and AI agents.
• Build data-driven applications (e.g., Streamlit) to enable internal access to AI-powered capabilities.
• Partner with stakeholders to deliver actionable insights and recommendations.

Requirements

• 7+ years of professional experience in data science, analytics, or machine learning roles.
• Strong proficiency in Python and SQL.
• Experience building scalable data science solutions (feature engineering, model training, evaluation, deployment, MLOps).
• English Bilingual.
• Solid understanding of data engineering concepts (ETL/ELT, data modeling, pipelines, governance).
• Experience integrating LLMs into production systems (prompt engineering, RAG, AI agents).

Nice to have

• Experience with software engineering best practices (APIs, testing, version control, deployment).
• Hands-on experience with Databricks or PySpark.
• Familiarity with data visualization platforms and storytelling with data.
• Experience using project management and collaboration tools (Jira, Trello, Confluence).
• Strong technical writing and documentation skills.

Culture & Benefits

• Generous paid time off, including vacation, holidays, and dedicated self-care days.
• Comprehensive paid parental leave and paid volunteer hours.
• Fully funded medical, dental, and vision coverage for employees and dependents.
• Mental health support via an Employee Assistance Program.
• Retirement and social security contributions, plus life insurance.
• Opportunities for continuous learning and growth through various platforms and events.