10 set - Italia
Bracco
Questa posizione è in BraccoRiassunto dell'possibilità da parte della Joinrs AI:Bracco ricerca un Data Scientist con laurea in Data Science, Statistica, Informatica, Matematica, Ingegneria o campi affini. Il ruolo prevede la progettazione e implementazione di soluzioni di machine learning e advanced analytics per creare impatti misurabili sul business. Il candidato collaborerà con team tecnici e di business per sviluppare soluzioni data-driven e supportare iniziative di trasformazione digitale. Il contratto è classificato al livello C del CCNL Chimico-Farmaceutico con RAL minima garantita di € 36.556,24, integra compensi commisurati all’esperienza.Il processo di selezione sarà interamente gestito da Bracco.Bracco is an international Group active in the healthcare sector and a leader in diagnostic imaging. The Group’s main products are contrast agents sold in over 100 countries, both directly and indirectly through branches, joint ventures and license and distribution agreements.About the RoleWe are looking for a Data Scientist to join our Digital Transformation Office and help turn data into scalable business impact. 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.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.Employment termsThe role is classified at Level C under the National Collective Agreement for the Chemical-Pharmaceutical Industry (CCNL Chimico-Farmaceutico).The guaranteed minimum base annual gross salary established by the CCNL for the applicable level is € 36.556,24.The overall compensation will be determined based on the experience, skills, and qualifications of the selected candidate.If you meet the requirements of this opportunity and would like to join an international group working to improve patients' livesAt Bracco, we believe in the values of diversity and inclusion. We respect and celebrate the diversity of our people and their experiences, ensuring a fair opportunity for all.#J-18808-Ljbffr
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