Growth Data Scientist

27 set - Bardi
Edenred

pIn this role you will design, develop and deploy advanced analytics and ML solutions to support sales and customer management. You will translate data insights into actionable outputs, partnering with stakeholders to embed models into operational processes. The role blends model development with practical application in a hybrid environment, contributing to a data-driven strategy and business impact. You will be part of a multinational team that values meritocracy and continuous growth, tackling diverse data challenges at scale. /pulliSmart-working (10 days/month) /liliTicket Restaurant /liliWelfare Plan /liliComprehensive health benefits including supplementary medical insurance, accident protection and life coverage /liliDesign, develop and deploy ML and advanced analytics models /liliBuild predictive models (e.g., churn, cross-sell, propensity) and develop features/datasets /liliTranslate models into operational outputs (lists, scores, targeting logics)



to support commercial processes /liliCollaborate with business stakeholders to translate requirements into data-driven solutions /liliMonitor model performance and business impact; contribute to test-and-learn approach /liliPresent insights and strategic recommendations to management /liliCoordinate with Data Engineering and IT for data quality, governance and availability /liliContribute to evolution of the company’s data-driven strategy /lili3/5 years of experience in Data Scientist roles, preferably in Sales or Customer Analytics /liliStrong knowledge of Python, PySpark, SQL and major ML libraries (scikit-learn, XGBoost, TensorFlow or similar) /liliHands on experience with Azure Databricks (Workflows and Job Orchestration) and familiarity with Azure ecosystem (Azure ML, Azure DevOps, Azure Data Factory) /liliPractical experience with end-to-end predictive modelling projects (propensity, churn, segmentation) /liliAbility to work with complex/incomplete datasets /liliUnderstanding of data architectures and ETL/ELT pipelines for data prep and transformation /liliExcellent stakeholder management and communication skills /liliStrong storytelling and presentation skills for technical and non-technical audiences /liliAbility to translate models and analyses into actionable business outputs /lilicommunication /lilistorytelling /liliPython /liliPySpark /liliSQL /li /ul #J-18808-Ljbffr

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