Data Engineer

OverviewAs a Senior Data Scientist at AVEVA in Madrid, you will lead complex data science projects and develop advanced ML models to enable data-driven decision making. You will collaborate with engineering, product, and business teams to translate data into actionable insights and scalable solutions. You’ll design and deploy AI agents and robust data pipelines, balancing performance with business impact. This role offers exposure to cutting-edge AI methods in a global, collaborative environment and the chance to help industrial workloads scale safely and efficiently.Responsabilidades Participate in all stages of data science projects-from problem definition to model deployment and monitoringCo-design, develop, and deploy ML models and statistical algorithms to address business problemsCreate, deploy, and maintain AI agents, including autonomous workflows and multi-agent systemsDefine and apply best practices for AI agent development, evaluation, and safety protocolsMonitor performance of deployed AI agents to ensure reliability, scalability, and alignment with business objectivesPromote best practices for DS processes and code development, including documentationCommunicate findings to technical and non-technical stakeholdersCollaborate with data engineers to ensure robust data pipelines and scalable deploymentsStay current with research trends in data science, ML, and AIRequisitos principales 5+ years in data science or ML rolesProficiency in Python with scikit-learn, langgraph and langchainExperience with SQL databasesCloud experience (AWS, GCP, Azure) and familiarity with Azure DatabricksSolid understanding of statistical modeling, ML, data mining, and NLPProven track record deploying AI agents and ML models to production with measurable impactKnowledge of git/version controlExcellent communication and presentation skillsexcellent communicationpresentation skillscross-functional collaborationPythonscikit-learnlanggraph

Requisitos principales 5+ years in data science or ML roles Proficiency in Python with scikit-learn, langgraph and langchain Experience with SQL databases Cloud experience (AWS, GCP, Azure) and familiarity with Azure Databricks Solid understanding of statistical modeling, ML, data mining, and NLP Proven track record deploying AI agents and ML models to production with measurable impact Knowledge of git/version control Excellent communication and presentation skills excellent communication presentation skills cross-functional collaboration Python