Data Scientist II

H-E-B - San Antonio, TX

Full-time - Mid Level

San Antonio, TX

10,001+ employees

Food and Beverage Retailers

About the position

As a Data Scientist II at H-E-B, you will play a crucial role in the Corporate Planning and Analysis Team, focusing on developing and maintaining budgets and financial systems. Your primary responsibility will be to create end-to-end business solutions by integrating multi-modal data pipelines and innovating new machine learning algorithms to enhance H-E-B's competitive advantage. This position requires a blend of technical expertise and business acumen, as you will be expected to translate complex algorithmic findings into actionable insights for various business stakeholders.

Responsibilities

• Serve as a thought leader in selected mainstream ML/AI fields for H-E-B.
• Build a concrete roadmap for ML solution maturity.
• Create end-to-end business solutions packages by integrating multi-modals and data pipelines.
• Design and implement different ML integration patterns to facilitate multi-modal orchestration.
• Innovate new ML algorithms to establish a strong competitive advantage for H-E-B business, ensuring they are backed by solid math and science proof.
• Apply an inquisitive nature about open source algorithms, their theories, and their implementation.
• Grow expertise in constructing distributed machine learning pipelines from scratch.

Requirements

• 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 and in-depth knowledge of the business domain.
• Well-rounded experience integrating math/science and platform engineering.
• Programming language skills in SQL, R, Python, Scala, Java, C/C++.
• ML optimization skills including GPU code optimization, Horovod, SparkMLlib optimization, Cython, JNI, Numba.
• Mainstream ML/AI skills such as deep learning, computer vision, NLP/NLU, reinforcement learning, meta-learning, federated learning.

Nice-to-haves

• Experience in a fast-paced retail environment with frequently shifting priorities.

Benefits

• Ownership in the company after eligibility.
• Commitment to quality and customer service.