Data Science Engineer

Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world's biggest brands. The future of data resilience is here - go fearlessly forward with us.

We're looking for a Data Science Engineer 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.

Your Tasks Will Include

• 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 use cases.
• Collaborate with Data Quality and Data Warehouse teams to reconcile data discrepancies and integrate new data sources.
• Support data analysis needs for QBRs, Summits, and All Hands meetings.
• 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.

What We Expect From You

• Bachelor's Degree required (a combination of education and experience will be considered)
• English Advanced
• 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).

Additional Skills

• Builder mindset—excited to create solutions from the ground up.
• 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.

We Offer

• Private medical insurance for you, one adult dependent, and your children
• Meal tickets
• Private pension plan
• Life insurance
• Vision reimbursement
• Annual leave and additional vacation days based on tenure
• Cafeteria Benefit Plan where you will be able to flexibly customize your benefits package based on your budget and personal needs
• Veeam Care Days – additional 24 hours for your volunteering activities
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (Percipio, Athena, O'Reilly) and mentoring through our MentorLab program

Veeam Software is an equal opportunity employer
and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

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By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.