Senior Data Scientist & ML Platform Architect

H-E-B; San Antonio (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

H-E-B Corp is seeking a Senior Data Scientist to lead the design, deployment, and governance of an ML platform. You will work with data scientists, engineers, and stakeholders to drive cross-functional AI initiatives that inform business decisions and optimize resources.

The role emphasizes Generative AI, retrieval-augmented generation, and scalable model serving, with a focus on reliable data-driven storytelling and customer impact within a retail context.

Qualifications

• A related degree or comparable formal training, certification, or work experience.
• 7+ years of experience in a retail or retail-related decision science role.
• Expertise in ML visualization flow.
• Expertise in optimizing distributed machine learning in a heterogeneous domain environment.

Responsibilities

• Design, create, and maintain an ML platform and environments.
• Manage Docker containers, Kubernetes clusters, CI/CD pipelines.
• Monitor and optimize model training performance and resource usage.
• Deploy models to production with versioning and rollback mechanisms.
• Ensure scalable serving using Vertex, Databricks, TensorFlow Serving, Flask, or FastAPI.
• Collaborate with data scientists, data engineers, and stakeholders.
• Architect Generative AI solutions focusing on RAG, search, knowledge graphs, and multi-agent workflows.
• Prepare data for LLM context from unstructured and structured sources.
• Train models and fine-tune hyperparameters.

Skills

Data storytelling

ML visualization

Causality analysis

AI reasoning

Business translation of ML

Education

Related degree or equivalent training

Tools

SQL

Python

R

Scala

Java

C/C++

Docker

Kubernetes

TensorFlow Serving

Flask

FastAPI

Databricks

Vertex AI

Job description

H-E-B Corp is seeking a Senior Data Scientist to lead the design, deployment, and governance of an ML platform. You will work with data scientists, engineers, and stakeholders to drive cross-functional AI initiatives that inform business decisions and optimize resources.

The role emphasizes Generative AI, retrieval-augmented generation, and scalable model serving, with a focus on reliable data-driven storytelling and customer impact within a retail context.