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Senior Data Science Engineer

Veeamsoftware
8 days ago
Full-time
Remote
Worldwide
Remote Other

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

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 da