Senior Data Scientist

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 professional experience to join our Revenue Intelligence team at Veeam Software. 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.

What You’ll Do

• Design and implement data science, ML, and AI solutions to support strategic decision-making
• Conduct deep-dive ad hoc analyses—both quantitative and qualitative—to inform business hypotheses and guide improvements
• Contribute to cross-functional projects involving data science, ML, and AI engineering use cases
• Develop knowledge bases from structured and unstructured data sources to support RAG systems and AI agents
• Build data applications using frameworks like Streamlit to provide internal stakeholders access to intelligent AI capabilities
• Help develop and refine processes to ensure business solutions align with strategic goals
• Partner with stakeholders to deliver actionable insights and recommendations
• Continuously improve existing processes and identify opportunities for efficiency gains

Technologies You’ll Work With

Databricks, Claude Code, Python, SQL

What You’ll Bring

• Proficiency in Python and SQL
• Experience building scalable data science solutions (feature engineering, model training/testing, evaluation, deployment, ML operations)
• Familiarity with data engineering concepts (data modeling, ETL/ELT, pipelines, storage optimization, governance)
• Understanding of software development practices (version control, APIs, testing, deployment)
• Experience integrating LLMs into code (prompt engineering, RAG systems, MCP)
• Familiarity with data visualization tools (Tableau, Power BI, Qlik, or equivalent)
• Strong problem-solving, communication, and analytical skills
• Technical writing experience
• Hands-on experience with Databricks or PySpark
• Familiarity with project management tools (Jira, Trello, Confluence)

Bonus Skills

• Creative mindset—excited to create solutions from the ground up through learning and quickly applying new tools
• Ability to collaborate with both technical and non-technical stakeholders
• Strong organizational skills and proactive communication
• Proven success in managing abstract, cross-functional projects
• Analytical reasoning and data-driven problem-solving capabilities
• Ability to manage multiple priorities and meet tight deadlines
• Creative mindset—excited to create solutions from the ground up through learning and quickly applying new tools
• Ability to collaborate with both technical and non-technical stakeholders
• Strong organizational skills and proactive communication
• Proven success in managing abstract, cross-functional projects
• Analytical reasoning and data-driven problem-solving capabilities
• Ability to manage multiple priorities and meet tight deadlines

#LI-KC1 #LI-Remote

What you'll get

• Unlimited paid time off, 12 paid holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
• Medical, dental, and vision coverage starting on your first day
• Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
• 401(k) retirement plan with company matching contributions