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H-E-B · 4 hours ago

Sr Data Scientist - eCommerce

San Antonio, TX

Full-time

Onsite

Senior Level

5+ years exp

H-E-B is a leading omnichannel retailing company, and they are seeking a Sr Data Scientist to join their Corporate Planning and Analysis Team. The role involves developing machine learning models, analyzing customer interactions, and innovating ML algorithms to enhance e-commerce initiatives.

Retail

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Analyzes clickstream data and customer interactions to drive insights

Develops and deploy machine learning models to support e-commerce initiatives

Presents findings to both technical and non-technical audiences, including senior leadership

Manages multiple data science projects while collaborating with Product, Business, and Engineering teams

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

Qualification

Machine LearningData Pipeline IntegrationClickstream AnalyticsPythonSQLRecommendation SystemsData VisualizationBig Data EcosystemsResearch SkillsAnalytical SkillsCritical ThinkingCollaboration Skills

Required

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

Experience with Clickstream Analytics (BQ/Amplitude) (Preferably in Retail)

Experience with Recommendation Systems

Able to continuously learn new methodologies and applications of ML/AI techniques

Strong capabilities in translating data science findings into business-friendly results

Able to present findings to leaders and peers

Ability to contribute to multiple work streams concurrently while staying connected to Product, Business, and Engineering teams

Experience working with visualization tools such as Tableau and Dash

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

Strong research and analytical skills

Critical and lateral thinking skills

Experience working with e-commerce data and understanding customer behavior

Proficiency in tools like BigQuery, Amplitude, or similar for clickstream data analysis

Experience with Tableau, Dash, or equivalent platforms to visualize data

Ability to develop end-to-end ML solutions, including NLU/LLM modeling

Proficiency in Python, SQL, Spark

Strong ability to present findings clearly and collaborate across teams

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

Work in a fast-paced retail environment with frequently shifting priorities

Work extended hours; sit for long periods

Company

H-E-B

Glassdoor4.2

H-E-B is headquartered in San Antonio, Texas with approximately $46 billion in revenue and 160,000+ Partners.

Founded in 1905

San Antonio, TX, US

10001+ employees

https://careers.heb.com

H1B Sponsorship

H-E-B has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (47)

2024 (27)

2023 (57)

2022 (40)

2021 (28)

2020 (37)