Responsibilities Company Name: H-E-B, LP Job Location: Austin, TX 78702 Job title: Data Scientist II Education and Experience: Master's degree in Science, Math, Engineering, Statistics, Data Analytics, Data Science, or related and 3 years of experience in Science, Math, Engineering, Statistics, Data Analytics, Data Science or related. Alternatively, a Bachelor's degree in Science, Math, Engineering, Statistics, Data Analytics, Data Science, or related and 5 years of experience in Science, Math, Engineering, Statistics, Data Analytics, Data Science or related. SOC Code: 15-2051 SOC Occupation Title: Data Scientists Duration: Regular Hire Work week: Full-time Supervision Experience Required: No Experience: Requires skills and experience to involve: Advanced programming skills with SQL, Spark R, Python, Scala, Java, and C/C++; Advanced machine learning (ML) optimization skills including GPU code optimization, Horovod, SparkMLlib optimization, Cython, Java Native Interface (JNI), and Numba; Demonstrated expertise with mainstream machine learning / artificial intelligence (ML/AI) principles; Deep understanding of the retail domain with respect to data science; Demonstrated expertise in constructing distributed machine learning pipeline from scratch; and Demonstrated experience performing end to end project delivery, including data visualization, performing research, and conducting presentations for non-technical audiences. Job duties: The Data Scientist II position will create new algorithms backed by solid proof of scientific reasoning, build concrete roadmap for ML solution evolution for specific H-E-B domains, own key business deliverables and works closely with business and product stakeholders. Understand best-in-class artificial intelligence (AI) techniques; customize the algorithms to create H-E-B unique differentiators. Extend best-in-class AI techniques from the latest ML/AI development, academic papers, and industry/community; and integrate those techniques into H-E-B reusable end-to-end ML pipelines. Refactor DS algorithms and models based on the target platform to maximize platform efficiency. Optimize end-to-end machine learning pipeline from exploration, development, build and deploy into the endpoint systems with supervision. Participate in code review and practices production-ready code development that abides by Data Science Center of Excellence (DSCOE) machine learning (ML) development standards. Create end-to-end ML business solutions packages by integrating ML/AI multi-modals and data pipelines. Innovate new ML algorithms to establish a strong competitive advantage for HEB business. Design and implement different ML integration patterns to facilitate multi-modal orchestration. Own ML Solution in production and responsible for their maintenance and production support.