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Data Scientist - Demand Forecasting
H-E-B
San Antonio, UAE
Full Time
Senior
1 months ago
SQLPythonRScalaJavaC/C++
Free
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About the Role
H-E-B seeks a Senior Data Scientist (Business Decision Scientist) to build frameworks for cross-domain learning, uncover ML model causality, and create enterprise reasoning systems.
Key Skills for This Role
SQLPythonRScalaJavaC/C++
Responsibilities
- Build a framework to stitch cross domains learning; optimize them toward mission specific and multi mission tasks
- Serve as expert specializing in AI interpretation and causality; uncover ML model's causality relationships
- Build framework to measure each model's bias, underspecification, and latent drivers with their connections
- Create an enterprise domain specific reasoning system to boost actionable insights and optimize resources of machine learning process
- Orchestrate reusable storytelling methodology to apply toward AI translation
- Apply an inquisitive nature to creating ML / AI transparency to the business
- Apply AI reasoning into business action recommendations
- Apply AI research to accelerate business innovation
Requirements
- A related degree or comparable formal training, certification, or work experience
- 7+ years of experience in a retail or retail related decision science role
- 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
- Ability to consider and apply causal reasoning representation and learning, and human centric, explainable, responsible AI
- Ability as a creative storyteller and translator between business questions and ML solutions
- Ability to work comfortably with imperfect or incomplete data
Full Job Posting
Overview
- H E B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems.
- The Senior Data Scientist role is a Business Decision Scientist archetype.
- The role involves building frameworks for cross domain learning, uncovering ML model causality, and creating enterprise reasoning systems.
Analytics / Design & Development
- 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.
- Creates an enterprise domain specific reasoning system to boost actionable insights and optimize 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.
Background
- A related degree or comparable formal training, certification, or work experience.
- 7+ years of experience in a retail or retail related decision science role.
- Expertise in ML visualization flow.
- Expertise in optimizing distributed machine learning in a heterogeneous domain environment.
Technical Skills
- 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 as a creative storyteller and translator between business questions and ML solutions.
- Ability to work comfortably with imperfect or incomplete data.
- Ability to apply AI reasoning into business action recommendation.
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