Senior Data Science Engineer
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Job Description
Senior Data Science Engineer specializing in scalable AI solutions at Veeam. Driving strategic decision-making and insightful analytics for the Revenue Intelligence team.
Responsibilities:
- 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
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)
Benefits:
- 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
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