22 set - Piemonte
Jobtailor
La preghiamo di verificare di possedere il livello di esperienza e le qualifiche adeguate leggendo la panoramica completa di questa occasione qui sotto.Design, develop and validate solutions across classical machine learning, applied AI, agents, copilots, LLM-based services and advanced statisticsBring solutions to production with the appropriate level of rigorSelect methods including experimentation, A/B testing, backtesting and causal inference to prove business impactOwn 2-3 client projects end-to-end in parallelManage relationships with senior client stakeholdersIdentify recurring patterns across projects and abstract them into reusable frameworks and accelerators with the CTOMentor junior data scientistsContribute to the team's training roadmapSupport Client Managers in pre-sales scopingTranslate business requirements into technical architectures and realistic estimatesBring solutions to production in collaboration with Data Engineering and Analytics Engineering colleaguesTranslate technical work into clear narratives for non-technical stakeholdersRequirementsFluent Italian, C1 English8+ years of experience in data science, machine learning or applied analyticsAt least 2 years in a senior capacity with technical ownership of projects and mentorship of junior colleaguesStrong Python (pandas, NumPy)ML/DL frameworks: scikit-learn, PyTorch, TensorFlowGradient boosting libraries: XGBoost, LightGBM, CatBoostSolid foundations in statistics, probability and ML theoryProven experience with model validation and evaluation, avoiding overfitting and data leakageExperience with A/B testing, backtesting and causal inference techniquesAt least one shipped LLM use case (RAG, agent,
copilot or similarAdvanced SQLFamiliarity with data warehouses such as BigQuery or SnowflakeHands-on experience with at least one cloud provider: GCP, Azure or AWSExperience with model deployment, monitoring and logging in productionGit and collaborative developmentClean, testable and maintainable code beyond notebooksTrack record of models shipped to production with measurable business impactAnalytics engineering experience with digital advertising and marketing platform data is a plusExperience turning one-off solutions into reusable internal tools, frameworks or products is a plusMLOps practices such as CI/CD for models, feature stores and orchestration are a plusExperience in consulting or product companies with a strong data science practice is a plusExperience working with international stakeholders is a plusCore CompetenciesDemonstrates expertise in machine learning, applied AI, and advanced statistics, with a strong focus on model validation, deployment, and business impact. xysqume Proficient in mentoring junior data scientists and managing client relationships while translating complex technical concepts for non-technical stakeholders.Highest-signal resume keywordsMachine Learning ExpertisePython ProgrammingModel Validation and EvaluationA/B Testing and Causal InferenceCloud Provider ExperienceHard SkillsMachine LearningApplied AnalyticsModel DeploymentStatisticsPythonSQLML/DL FrameworksGradient Boosting LibrariesData ValidationAnalytics EngineeringSoft SkillsMentorshipClient Relationship ManagementCommunicationIndustry KeywordsData ScienceDigital AdvertisingMarketing PlatformsMLOpsConsultingTools & TechnologiesGCPAzureAWSBigQuerySnowflakeGit#J-18808-Ljbffr
23 set - Lecce
Snai
23 set - Tempio Pausania
Serafina
23 set - Grosseto
Il Globo Vigilanza
23 set - Bolzano
Kpmg Italy