Requirements: English
Company: H-E-B
Region: Treviso , Veneto
ResponsibilitiesH-E-B''s Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing current, reliable financial data, analysis, and technical information.As a Senior Data Scientist, your role is that of a Business Decision Scientist. Your passions include building frameworks for cross-domain learning, uncovering causality in ML models, creating enterprise reasoning systems to enhance insights and resource optimization, and developing storytelling methodologies for AI translation.Once eligible, you''ll become an owner in the company, which requires commitment, hard work, and a focus on quality and customer service. Our ''Partner-owned'' approach emphasizes that our most valuable resourcePeopledrives our innovation, growth, and success at H-E-B.Core QualitiesHeart for People: Willingness to mentorHead for Business: Skills to support decision-making for complex issuesPassion for Results: Ability to generate data-driven business solutionsWhat we are looking forA creative data storyteller capable of providing measurable and predictive business recommendations.Work ResponsibilitiesFeature selection, regularization techniques (Lasso, Ridge, Elastic Net), and data transformationsTime series analysis including ARIMA, exponential smoothing, and non-stationary modelsMachine learning applications such as ANN, SVM, XGBoost, kNN, ensemble methods, genetic algorithms, etc.Large-scale forecasting using deep learning for time seriesAnalytics / Design & DevelopmentDevelop frameworks for cross-domain learning and optimizationSpecialize in AI interpretation, causality, and bias measurement in ML modelsCreate enterprise reasoning systems to enhance insights and resource useDevelop reusable storytelling methods for AI translationPromote transparency and AI reasoning in business actionsApply AI research to accelerate innovationCandidate BackgroundDegree, training, certification, or work experience related to the field7+ years in retail or decision science rolesExpertise in ML visualization and distributed machine learning in heterogeneous environmentsTechnical SkillsProgramming: SQL, R, Python, Scala, Java, C/C++Big data / ML optimization: GPU, Horovod, Spark MLlib, Cython, JNI, NumbaML/AI expertise: deep learning, NLP, reinforcement learning, explainable AI, and moreAdditional AbilitiesStorytelling and translating business questions into ML solutionsWorking with imperfect dataApplying AI reasoning to business recommendationsPersonal AttributesAbility to work in a fast-paced environment with shifting prioritiesWillingness to work extended hours and sit for long periods#J-18808-Ljbffr