Hybrid Data Scientist II – Retail AI & ML Pipelines

H-E-B; Austin (TX); Hybrid; USD 110,000 - 160,000; Full time

Job summary

H-E-B, LP in Austin, TX is seeking a Data Scientist II to design, develop and deploy AI/ML solutions for retail objectives. The role emphasizes building data pipelines and scalable ML models across data sources and systems.

The ideal candidate has at least 3 years in retail data science, with experience in distributed systems, multi-modal ML, and AI strategies aligned to omnichannel retail. Hybrid work is allowed, based in Austin.

Qualifications

• Expertise in advanced machine learning and artificial intelligence applied in retail.
• Experience designing novel ML solutions, including multi-modal and distributed systems.
• Experience with large-scale data engineering and end-to-end production ML pipelines.
• Knowledge of financial planning and omnichannel retail ML applications.
• Developing enterprise ML roadmaps and scalable AI capabilities.

Responsibilities

• Design, develop and implement ML/AI solutions to support retail objectives.
• Build end-to-end data and model pipelines integrating multiple data sources.
• Develop, test and optimize ML algorithms and distributed processing workflows.
• Evaluate and adapt open-source and proprietary algorithms to business needs.
• Communicate model results to business and cross-functional stakeholders.

Skills

Advanced ML/AI

ML pipelines

Data engineering

Distributed systems

Omnichannel ML

Roadmap development

Education

Bachelor's degree in Economics or quantitative field

Job description

H-E-B, LP in Austin, TX is seeking a Data Scientist II to design, develop and deploy AI/ML solutions for retail objectives. The role emphasizes building data pipelines and scalable ML models across data sources and systems.

The ideal candidate has at least 3 years in retail data science, with experience in distributed systems, multi-modal ML, and AI strategies aligned to omnichannel retail. Hybrid work is allowed, based in Austin.