Pubblicato il 18 giugno
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Experteer OverviewAs a Data Scientist at QuantumBlack, you will join multi‐disciplinary teams to transform data into real‐world impact for organizations globally. Si assicuri di inviare la sua candidatura con tutte le informazioni richieste, come indicato nella panoramica del lavoro riportata di seguito. You will tackle diverse data challenges, build high‐quality data science solutions, and partner with clients and internal experts to implement data‐driven strategies. You'll present findings and recommendations to stakeholders, ensuring scalable, secure, and responsible AI‐driven outcomes. This role offers strong mentorship, continuous learning, and exposure to a wide range of industries in a collaborative, diverse environment.BenefitsTackle complex data challenges and build high‐quality data science solutionsCollaborate with client teams and internal experts to implement data‐driven strategiesPresent findings and actionable recommendations to stakeholdersDesign and implement scalable, secure data‐driven solutionsStay up to date with latest data science tools and technologies and contribute to proprietary toolsDeliver impact across diverse industries by transforming raw data into actionable insightsQualificationsBachelor's degree in computer science (minimum); Master's or PhD preferred but not requiredUp to 2 years of experience in programming or data science (strong potential considered)Strong proficiency in Python; experience with R, SQL, Spark valuedSolid foundation in statistics and data analysis; familiarity with GenAI concepts xrdztoy a nice‐to‐haveExperience with or familiarity with AWS, GCP, Azure; TensorFlow or PyTorch a plusProven ability to work in teams and with stakeholders at all levelsStrong verbal and written communication skills in Italian; English proficiency requiredBenefits and DevelopmentCompetitive salaryComprehensive benefits packageStructured learning and apprenticeship programsMentorship and developmentGlobal diverse communityExposure to world‐class learning programs #J-18808-Ljbffr