Veeam Software - Data Scientist
Requirements
• 4+ years of professional experience in Data Science, Machine Learning, AI Engineering, or a related field. • Strong programming skills in Python and SQL. • Experience designing and deploying scalable machine learning solutions, including feature engineering, model evaluation, deployment, and MLOps practices. • Hands-on experience with Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), or similar AI frameworks. • Solid understanding of data engineering concepts, including ETL/ELT pipelines, data modeling, governance, and storage optimization. • Experience with Databricks, PySpark, or distributed data processing platforms. • Familiarity with software engineering best practices, including APIs, version control, testing, CI/CD, and deployment workflows. • Experience with business intelligence and visualization tools such as Tableau, Power BI, or Qlik. • Excellent analytical thinking, problem-solving, communication, and technical writing skills. • Experience using Agile project management tools such as Jira, Confluence, or Trello. • Experience developing AI copilots, autonomous agents, or conversational AI applications. • Exposure to cloud-native AI and machine learning platforms. • Familiarity with vector databases, embeddings, and semantic search technologies. • Experience working in Revenue Operations, Sales Analytics, or Business Intelligence environments. • Knowledge of future AI, OpenAI, or similar generative AI ecosystems. • What You'll Get • Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares • Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents • Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents • Mental health support, therapy sessions, and virtual care via our Employee Assistance Program • Retirement and social security contributions through Costa Rica’s statutory programs • Life insurance equal to 24x monthly salary, plus disability and funeral coverage • Daily cafeteria subsidy • Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Responsibilities
• Design, develop, and deploy scalable data science, machine learning, and AI solutions that drive business value. • Build production-ready ML pipelines, from feature engineering and model development through deployment and monitoring. • Develop AI-powered applications using modern frameworks such as Streamlit and integrate Large Language Models (LLMs) into business workflows. • Design and maintain Retrieval-Augmented Generation (RAG) solutions, knowledge bases, and AI agents using structured and unstructured enterprise data. • Perform quantitative and qualitative analyses to identify trends, generate insights, and support strategic decision-making. • Partner with business stakeholders to translate complex business challenges into scalable AI and analytics solutions. • Collaborate with data engineers, software engineers, analysts, and product teams on cross-functional initiatives. • Improve existing data science processes, identify automation opportunities, and promote engineering best practices. • Contribute to technical documentation, knowledge sharing, and continuous improvement initiatives.
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT