H-E-B
Data Scientist – Retail Performance Media
Overview
This is a unique opportunity to join a small, high‑visibility team within a very large organization. As a Data Scientist , you will develop and maintain budgets and financial systems while providing current, reliable financial data, analysis, and technical information for H-E-B's Corporate Planning and Analysis Team. You will also contribute to H-E-B Retail Media (HRM), a rapidly growing digital consultant team that strives to become the advertising platform of choice for CPG brands.
Responsibilities
Serve as an expert in selected mainstream ML / AI fields.
Customize open‑source ML / AI algorithms with solid proof from math reasoning.
Extend best‑in‑class AI techniques from the latest ML / AI research, academic papers, industry and community; integrate those techniques into H-E-B reusable end‑to‑end ML pipelines; customize algorithms to create H-E-B‑unique differentiators.
Optimize end‑to‑end machine learning pipeline from exploration, development, building, deployment to endpoint systems.
Refactor DS algorithms and models based on the target platform to maximize platform efficiency.
Apply an inquisitive nature about open‑source algorithms, their theories, and their implementation.
Grow expertise in constructing distributed machine learning pipeline from scratch.
Qualifications
A related degree or comparable formal training, certification, or work experience.
3+ years of experience in a retail or retail‑related decision science role.
Well‑rounded experience integrating math / science and platform engineering.
Proficiency in DS techniques (classification, regression, optimization).
Some familiarity with big data ecosystems (e.g., Spark, Hadoop) and UNIX commands / scripting.
Understanding of best‑in‑class AI techniques to customize algorithms that created H-E-B‑unique differentiators.
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).
Strong research and analytical skills.
Critical and lateral thinking skills.
Ability to grow expertise in constructing distributed machine learning pipeline from scratch.
Do You Have What It Takes?
Work in a fast‑paced retail environment with frequently shifting priorities.
Work extended hours; sit for long periods.
Benefits & Culture
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.
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