H-E-B's Corporate Planning and Analysis Team needs to develop and maintain budgets and financial systems while providing current, reliable financial data, analysis, and technical information. The Senior Data Scientist will act as a Business Decision Scientist to build frameworks for cross-domain learning, uncover ML model causality, create enterprise domain-specific reasoning systems, and orchestrate reusable storytelling methodologies for AI translation to boost actionable insights and optimize resources.
Requirements
- Expertise in ML visualization flow
- Expertise in optimizing distributed machine learning in a heterogeneous domain environment
- Technical knowledge in programming languages: SQL, R, Python, Scala, Java, C/C++
- Technical knowledge in big data / ML optimization: GPU code optimization, Horovod, Spark MLlib optimization, Cython, JNI, Numba
- Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning, computer vision, NLP/NLU, reinforcement learning, meta-Learning, federated learning
- Technical skills to consider and apply causal reasoning representation and learning, and human-centric, explainable, responsible AI
- Ability to work comfortably with imperfect or incomplete data
Responsibilities
- Builds a framework to stitch cross domains learning; optimizes them toward mission-specific and multi-mission tasks
- Serves as expert specializing in AI interpretation and causality; uncovers ML model's causality relationships; builds framework to measure each model's bias, underspecification, and latent drivers with their connections
- Creates an enterprise domain-specific reasoning system to boost actionable insights and optimize the resources of machine learning process
- Orchestrates reusable storytelling methodology to apply toward AI translation
- Applies an inquisitive nature to creating ML / AI transparency to the business
- Applies AI reasoning into business action recommendations
- Applies AI research to accelerate business innovation
Other
- A related degree or comparable formal training, certification, or work experience
- 7+ years of experience in a retail or retail-related decision science role
- Ability as a creative storyteller and translator between business questions and ML solutions
- Willingness to mentor
- Skills to serve as technical lead to support decision-making for complex cross-functional business issues
- Ability to generate business-valued questions and data-driven solutions
- A creative data storyteller with measurable and predictive business recommendations
