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

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