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Senior Data Science Engineer
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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. About the RoleWe’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 DoDesign and implement data science, machine learning, and AI solutions to support strategic decision-makingPerform deep-dive quantitative and qualitative analyses to validate business hypotheses and drive improvementsContribute to cross-functional initiatives involving data science, ML, and AI engineering use casesDevelop knowledge bases from structured and unstructured data to support RAG systems and AI agentsBuild data-driven applications (e. g. , Streamlit) to enable internal access to AI-powered capabilitiesPartner with stakeholders to deliver actionable insights and recommendationsContinuously improve processes and identify opportunities for automation and efficiencyTechnologies You’ll Work WithPython, SQL, Machine Learning AI Frameworks, Databricks / PySpark, Data Visualization Tools (Streamlit, Tableau, Power BI, Qlik)What You’ll Bring7+ years of professional experience in data science, analytics, or machine learning rolesStrong proficiency in Python and SQLExperience building scalable data science solutions (feature engineering, model training, evaluation, deployment, MLOps)English BilingualSolid understanding of data engineering concepts (ETL/ELT, data modeling, pipelines, governance)Experience integrating LLMs into production systems (prompt engineering, RAG, AI agents)Bonus SkillsExperience with software engineering best practices (APIs, testing, version control, deployment)Hands-on experience with Databricks or PySparkFamiliarity with data visualization platforms and storytelling with dataExperience using project management and collaboration tools (Jira, Trello, Confluence)Strong technical writing and documentation skillsWhat You’ll GetTwo weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam CaresPaid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parentsMedical, dental, and vision coverage fully funded through INS Premium for employees and dependentsMental health support, therapy sessions, and virtual care via our Employee Assistance ProgramRetirement and social security contributions through Costa Rica’s statutory programsLife insurance equal to 24x monthly salary, plus disability and funeral coverageDaily cafeteria subsidyFertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam CaresOpportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of LearningVeeam 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.
The future of data resilience is here - go fearlessly forward with us. About the RoleWe’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 DoDesign and implement data science, machine learning, and AI solutions to support strategic decision-makingPerform deep-dive quantitative and qualitative analyses to validate business hypotheses and drive improvementsContribute to cross-functional initiatives involving data science, ML, and AI engineering use casesDevelop knowledge bases from structured and unstructured data to support RAG systems and AI agentsBuild data-driven applications (e. g. , Streamlit) to enable internal access to AI-powered capabilitiesPartner with stakeholders to deliver actionable insights and recommendationsContinuously improve processes and identify opportunities for automation and efficiencyTechnologies You’ll Work WithPython, SQL, Machine Learning AI Frameworks, Databricks / PySpark, Data Visualization Tools (Streamlit, Tableau, Power BI, Qlik)What You’ll Bring7+ years of professional experience in data science, analytics, or machine learning rolesStrong proficiency in Python and SQLExperience building scalable data science solutions (feature engineering, model training, evaluation, deployment, MLOps)English BilingualSolid understanding of data engineering concepts (ETL/ELT, data modeling, pipelines, governance)Experience integrating LLMs into production systems (prompt engineering, RAG, AI agents)Bonus SkillsExperience with software engineering best practices (APIs, testing, version control, deployment)Hands-on experience with Databricks or PySparkFamiliarity with data visualization platforms and storytelling with dataExperience using project management and collaboration tools (Jira, Trello, Confluence)Strong technical writing and documentation skillsWhat You’ll GetTwo weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam CaresPaid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parentsMedical, dental, and vision coverage fully funded through INS Premium for employees and dependentsMental health support, therapy sessions, and virtual care via our Employee Assistance ProgramRetirement and social security contributions through Costa Rica’s statutory programsLife insurance equal to 24x monthly salary, plus disability and funeral coverageDaily cafeteria subsidyFertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam CaresOpportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of LearningVeeam 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.
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