Data Preparation Collect clean preprocess and validate structured and unstructured dataModeling ML Build predictive models machine learning algorithms and statistical experimentsVisualization Reporting Translate technical findings into visual dashboards reports and strategic recommendations for stakeholdersCross-Functional Work Collaborate with data engineers product managers and software teams to push models into productionCore Technical SkillsMachine learning statistical analysis data mining predictive modeling and big data frameworks such as Hadoop or SparkTools Platforms Business intelligence tools like Tableau or Power BI plus libraries software like Scikitlearn TensorFlow or SASSkillsMandatory
Skills:
Statistics-Data ScienceGood to Have
Skills:
AI/ML Architecture
📌 Data Scientist (Madrid)
🏢 Talent Search Technology
📍 Madrid
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