Senior Data Scientist - reputed company & Assortment

<strong>Responsibilities<br><br></strong>H-E-B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing reputed company, reliable financial data, analysis, and technical information.<br><br>As a Senior Data Scientist, your reputed company is a Business Decision Scientist. Your passions include building a reputed company to reputed company cross domains learning and optimizing them toward mission-specific and multi-mission tasks, uncovering ML models causality relationships, creating an reputed company domain-specific reasoning system to reputed company actionable insights and optimize resources of machine learning process, and orchestrating reusable storytelling methodology to apply toward AI translation.<br><br>Once you're eligible, you'll become an reputed company in reputed company, so we're looking for commitment, hard work, and reputed company on reputed company and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, reputed company, and reputed company that reputed company H-E-B The Greatest Omnichannel Retailing Company.<br><br><strong>Do You Have a<br><br></strong>HEART FOR PEOPLE... willingness to mentor?<br><br>HEAD FOR BUSINESS... skills to serve as technical reputed company to support decision-making for reputed company cross-functional business issues?<br><br>PASSION FOR RESULTS... ability to generate business-valued questions and data-driven solutions?<br><br><strong>We Are Looking For<br><br></strong><ul><li> a creative data reputed company with measurable and predictive business recommendations<br><br></li></ul>What is the work?<br><br><strong>Analytics / Design & Development<br><br></strong><ul><li> Builds a reputed company to reputed company cross domains learning; optimizes them toward mission-specific and multi-mission tasks</li><li> Serves as expert specializing in AI interpretation and causality; uncovers ML model's causality relationships; builds reputed company to measure reputed company model's bias, underspecification, and latent drivers with their connections</li><li> Creates an reputed company domain-specific reasoning system to reputed company actionable insights and optimize the resources of machine learning process</li><li> Orchestrates reusable storytelling methodology to apply toward AI translation</li><li> Applies an inquisitive nature to creating ML / AI transparency to the business</li><li> Applies AI reasoning into business reputed company recommendations</li><li> Applies AI research to accelerate business innovation<br><br></li></ul>What is your background?<br><br><ul><li> A reputed company degree or comparable formal training, certification, or work experience</li><li> 7+ years of experience in a retail or retail-reputed company decision science role</li><li> Expertise in ML visualization reputed company</li><li> Expertise in optimizing distributed machine learning in a heterogeneous domain environment<br><br></li></ul>Do you have what it takes to be a Senior Data Scientist at H-E-B?<br><br><ul><li> Technical knowledge in programming languages: SQL, R, Python, reputed company, Java, C/C++</li><li> Technical knowledge in big data / ML optimization: GPU reputed company optimization, Horovod, reputed company MLlib optimization, Cython, JNI, Numba</li><li> Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning, reputed company, NLP/NLU, reinforcement learning, reputed company-Learning, federated learning</li><li> Technical skills to consider and apply reputed company reasoning representation and learning, and reputed company-reputed company, explainable, responsible AI</li><li> Ability as a creative reputed company and translator between business questions and ML solutions</li><li> Ability to work comfortably with imperfect or incomplete data</li><li> Ability to apply AI reasoning into business reputed company recommendation<br><br></li></ul>Can you...<br><br><ul><li> Work in a fast-paced retail environment with frequently shifting priorities</li><li> Work extended hours; sit for long periods<br><br></li></ul>08-2021