Data Scientist II - Demand Transfer

H-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 Data Scientist II, your archetype is an ML / AI Business Solution Designer. Your passions include creating end-to-end business solutions packages by integrating multi-modals and data pipelines, innovating new ML algorithms to establish strong competitive advantage for H-E-B business, and designing and implementing different ML integration patterns to facilitate multi-modal orchestration. Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company. Do You Have a HEART FOR PEOPLE... willingness to take a break from algorithmic thinking / detecting to translate and share your findings with a variety of business customers? HEAD FOR BUSINESS... skills to blend mass data-wrangling with business acumen? PASSION FOR RESULTS... drive to generate business-valued questions and data-based n solutions? We Are Looking For • a thought leader of ML innovation who orchestrates business solutions across ML pipelines What is the work? • Demand Transfer Models (NLP for Product Affinity, Cannibalization Model and Attraction Models (Halo), Multinomial Logit Models, Consumer Decision Threes, etc.) • Network Model and Graph Theory for demand transfer • Assortment Optimization (Assortment Cross-Elasticities, Assortment Linear Programming Optimization, Nested Logit Models, etc.) • Price Optimization (Price-Response Function, Price Elasticities with Competition, Price Differentiation, Capacity Allocation with Dependent Demands, Network Pricing Optimization, Markdown Optimization, Price Dynamic Optimization, etc.) Analytics / Design & Development • Serves H-E-B as a thought leader in selected mainstream ML / AI fields • Builds a concrete roadmap for ML solution maturity revolution • Creates end-to-end business solutions packages by integrating multi-modals and data pipelines • Designs / implements different ML integration patterns to facilitate multi-modal orchestration • Innovates new ML algorithms to establish strong competitive advantage for H-E-B business; ensures new algorithms are backed by solid math and science proof • Applies an inquisitive nature about open source algorithms, their theories, and their implementation • Grows expertise in constructing distributed machine learning pipeline from scratch What is your background? • A related degree or comparable formal training, certification, or work experience • 5+ years of experience in a retail or retail-related decision science role • Expertise / in-depth knowledge of business domain • Well-rounded experience integrating math / science and platform engineering Do you have what it takes to be a Data Scientist at H-E-B? • Programming language skills (SQL, R, Python, Scala, Java, C/C++) • ML optimization skills (GPU code optimization, Horovod, SparkMLlib optimization, Cython, JNI, Numba • Mainstream ML / AI skills (deep learning, computer vision, NLP / NLU, reinforcement learning, meta-learning, federated learning) • Ability to grow expertise in constructing distributed machine learning pipeline from scratch Can you... • Work in a fast-paced retail environment with frequently shifting priorities • Work extended hours; sit for long periods 08-2021 CPFA3232 DATANL3232 Apply Job!