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Data scientist

Milano
Contratto a tempo indeterminato
Bracco Imaging
Data scientist
Pubblicato il 22 aprile
Descrizione

We are looking for a Data Scientist to join our Digital Transformation Office and help turn data into scalable business impact.
Scopra esattamente quali competenze, esperienze e qualifiche sono necessarie per avere successo in questo ruolo prima di candidarsi.
The Data Scientist designs and deploys machine learning and advanced analytics solutions that create measurable business impact.
In this role, you will work across business and technical teams to develop data-driven solutions, improve decision-making, and support key transformation initiatives.Key responsibilitiesDesign, develop, and optimize machine learning and advanced analytics solutions for business use casesExplore, clean, and structure data from multiple sources, including CRM, internal pipelines, and cloud platformsBuild, validate, and monitor predictive models and analytical workflowsTranslate business needs into data science approaches, hypotheses, and measurable outcomesCollaborate with data engineers, domain experts, and business stakeholders to industrialize solutionsCommunicate insights and model outputs through clear visualizations, presentations, and recommendationsSupport deployment, documentation, and continuous improvement of models and pipelinesContribute to the adoption of data science best practices across the organizationWhat we are looking for1 to 3 years of experience in data science, advanced analytics, or similar rolesStrong hands-on experience with Python and SQLExperience with machine learning techniques such as regression, classification, clustering, forecasting, or anomaly detectionFamiliarity with Databricks or similar cloud-based data and analytics environmentsGood understanding of model validation, performance monitoring, and reproducible workflowsAbility to work effectively across technical and business teamsStrong communication skills and ability to explain complex outputs to non-technical stakeholdersPreferred qualificationsExperience with ML pipelines, MLOps, or model deployment workflowsKnowledge of statistics and experimental designExperience with visualization tools such as Power BI or TableauExposure to pharmaceutical, healthcare, or regulated environments is a plusEducationBachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field. xrdztoy Why join the DTOYou will work on high-impact transformation initiatives and help shape the company's AI and analytics journey by building solutions that move from idea to business adoption.

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