Senior Data Science Engineer

About the Role

We’re looking for a Data Science Engineer with 7+ years of experience to join the Revenue Intelligence team at Veeam. This role is ideal for someone who thrives in a fast-paced environment, enjoys building scalable data solutions, and is passionate about driving business impact through analytics, machine learning, and AI. You’ll work closely with cross-functional teams to turn data into actionable insights and intelligent applications.

What You’ll 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
• Continuously improve processes and identify opportunities for automation and efficiency

Technologies You’ll Work With

Python, SQL, Machine Learning & AI Frameworks, Databricks / PySpark, Data Visualization Tools (Streamlit, Tableau, Power BI, Qlik)

What You’ll Bring

• 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)

Bonus Skills

• 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

What You’ll Get

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning