Data Scientist, Digital Transformation Project

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Descrizione

About the Project: Digital transformation initiative leveraging cloud, data analytics, and AI to build next-gen data products. Role: • Work in an agile product team under Product Manager to design, develop, and deploy data science products - dashboards, reports, and machine learning models. • Engage stakeholders to gather requirements and translate business questions into analytical hypotheses and data science problem statements. • Perform data audits, exploratory data analysis (EDA), and feasibility assessments for AI/ML use cases. • Design and develop data pipelines, feature engineering workflows, and database models to support analytics and ML. • Build, train, validate, and deploy ML / statistical models on large-scale structured and unstructured datasets. • Develop interactive dashboards and visual storytelling using Qlik Sense / Power BI / Tableau. • Optimize model performance, data pipeline performance, and troubleshoot issues. • Perform code reviews, vulnerability checks, model validation, and UAT with end users. • Support tech refresh - model retraining, platform migration, regression testing, and code retrofitting. • Conduct user training, product demonstrations, and knowledge transfer. Requirements • Minimum 1 end-to-end project delivered in Scrum / Agile environment. • Proven track record translating business problems into analytical solutions with measurable business impact. • Strong hands-on experience in machine learning, statistical modelling, and data mining

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