Responsibilities
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 pipelinesWhat 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 scratchWhat 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 engineeringDo 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 scratchCan you...- Work in a fast-paced retail environment with frequently shifting priorities- Work extended hours; sit for long periods08-2021
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