Data Scientist - eCommerce

Responsibilities

H-E-B's Corporate Planning and Analysis Team develops and maintains budgets and financial systems while providing current, reliable financial data, analysis, and technical information.

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

What is the work?

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

What is your 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

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

Do you have what it takes to be a Senior Data Scientist at H-E-B?

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

Can you...

Work in a fast-paced retail environment with frequently shifting priorities

Work extended hours; sit for long periods

08-2021