H-E-B, LP is looking to solve business problems by creating new algorithms and machine learning solutions to establish a strong competitive advantage in the retail domain
Requirements
- 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
- Demonstrated experience performing end to end project delivery, including data visualization, performing research, and conducting presentations for non-technical audiences
Responsibilities
- 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
- extend best-in-class AI techniques from the latest ML/AI development, academic papers, and industry/community
- 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
Other
- 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
- Full-time work week
- No supervision experience required
- Ability to perform end to end project delivery, including data visualization, performing research, and conducting presentations for non-technical audiences
