Data Scientist - eCommerce
Indexed description
As a Senior Data Scientist, your archetype is a Business Decision Scientist. Your passions include building a framework to stitch cross domains learning and optimizing them toward mission-specific and multi-mission tasks, uncovering ML models causality relationships, creating an enterprise domain-specific reasoning system to boost actionable insights and optimize resources of machine learning process, and orchestrating reusable storytelling methodology to apply toward AI translation.
Once you're eligible, you'll become an Owner in the company, so we're looking for commitment, hard work, and focus on quality and Customer service. 'Partner-owned' means our most important resources--People--drive the innovation, growth, and success that make H-E-B The Greatest Omnichannel Retailing Company.
Do You Have a
HEART FOR PEOPLE... willingness to mentor?
HEAD FOR BUSINESS... skills to serve as technical lead to support decision-making for complex cross-functional business issues?
PASSION FOR RESULTS... ability to generate business-valued questions and data-driven solutions?
We Are We Looking For
- a creative data storyteller with measurable and predictive business recommendations
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 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
- A related degree or comparable formal training, certification, or work experience
- 7+ years of experience in a retail or retail-related decision science role
- Experience translating data science findings into business-friendly results.
- Experience presents findings to leaders and peers.
- Abilityto contribute to multiple work streams concurrently.
- Experience with Clickstream Analytics (BQ/Amplitude)
- Capable of working with visualization tool such as Tableau and Dash, flask, d3, bokeh, streamlit, plotly
- Experience with Text Analytics
- Ability to create end-to-end ML solutions with guidance
- Able to adapt within the team’s foundational design (Confluence, Jira, Git, IDE’s)
- Open to learning new methodologies and application of ML techniques
- 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 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
- Work in a fast-paced retail environment with frequently shifting priorities
- Work extended hours; sit for long periods
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search