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 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 transferAssortment 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 fieldsBuilds a concrete roadmap for ML solution maturity revolutionCreates end-to-end business solutions packages by integrating multi-modals and data pipelinesDesigns / implements different ML integration patterns to facilitate multi-modal orchestrationInnovates new ML algorithms to establish strong competitive advantage for H-E-B business; ensures new algorithms are backed by solid math and science proofApplies an inquisitive nature about open source algorithms, their theories, and their implementationGrows expertise in constructing distributed machine learning pipeline from scratchWhat is your background?
A related degree or comparable formal training, certification, or work experience5 years of experience in a retail or retail-related decision science roleExpertise / in-depth knowledge of business domainWell-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, NumbaMainstream 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 prioritiesWork extended hours; sit for long periods08-2021
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