Data Science Engineer

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 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 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 you'll bring Minimum 5+ years of professional experience as a data scientist or similar role. 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). Bonus 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. What you'll get: 18 paid vacation days, plus three global VeeaMe Days for self-care and 24 volunteer hours annually Private medical coverage for you and up to four dependents Life, accident, and disability insurance with enhanced coverage Wellbeing allowance for physical and mental wellness Free confidential counselling and coaching via Employee Assistance Programme (EAP) Meal, fuel, and transportation benefits based on work arrangement Daycare reimbursement and safe cab facility for eligible employees Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program #LI-TR1 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. Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice. The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes. By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice. 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.