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Sr Data Scientist eCommerce

H-E-B San Antonio, TX

Live

Full-time Posted 26 days ago 4 min read

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 Data Scientist II, your archetype is an ML / AI Business Solution Designer. Your passions include creating end-to-end business solutions packages by integrating multi-modals and data pipelines, innovating new ML algorithms to establish strong competitive advantage for H-E-B business, and designing and implementing different ML integration patterns to facilitate multi-modal orchestration.

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 take a break from algorithmic thinking / detecting to translate and share your findings with a variety of business customers?

HEAD FOR BUSINESS... skills to blend mass data-wrangling with business acumen?

PASSION FOR RESULTS... drive to generate business-valued questions and data-based n solutions?

We are looking for:

a thought leader of ML innovation who orchestrates business solutions across ML pipelines

What is the work?

Analytics / Design & Development:

Analyzes clickstream data and customer interactions to drive insights.
Develops and deploy machine learning models to support e-commerce initiatives
Presents findings to both technical and non-technical audiences, including senior leadership
Manages multiple data science projects while collaborating with Product, Business, and Engineering teams
Serves H-E-B as a thought leader in selected mainstream ML / AI fields
Builds a concrete roadmap for ML solution maturity revolution
Creates end-to-end business solutions packages by integrating multi-modals and data pipelines
Designs / implements different ML integration patterns to facilitate multi-modal orchestration
Innovates new ML algorithms to establish strong competitive advantage for H-E-B business; ensures new algorithms are backed by solid math and science proof
Applies an inquisitive nature about open source algorithms, their theories, and their implementation
Grows expertise in constructing distributed machine learning pipeline from scratch

What is your background?

A related degree or comparable formal training, certification, or work experience
5+ years of experience in a retail or retail-related decision science role
Expertise / in-depth knowledge of business domain
Well-rounded experience integrating math / science and platform engineering

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

Experience with Clickstream Analytics (BQ/Amplitude) (Preferably in Retail)
Experience with Recommendation Systems
Able to continuously learn new methodologies and applications of ML/AI techniques
Strong capabilities in translating data science findings into business-friendly results.
Able to present findings to leaders and peers.
Ability to contribute to multiple work streams concurrently while staying connected to Product, Business, and Engineering teams.
Experience working with visualization tools such as Tableau and Dash
Proficiency in DS techniques (classification, regression, optimization)
Some familiarity with big data ecosystems (e.g., Spark, Hadoop) and UNIX commands / scripting
Understanding of best-in-class AI techniques to customize algorithms that created H-E-B-unique differentiators
Strong research and analytical skills
Critical and lateral thinking skills
Experience working with e-commerce data and understanding customer behavior
Proficiency in tools like BigQuery, Amplitude, or similar for clickstream data analysis
Experience with Tableau, Dash, or equivalent platforms to visualize data
Ability to develop end-to-end ML solutions, including NLU/LLM modeling
Proficiency in Python, SQL, Spark
Strong ability to present findings clearly and collaborate across teams
Programming language skills (SQL, R, Python, Scala, Java, C/C++)
ML optimization skills (GPU code optimization, Horovod, SparkMLlib optimization, Cython, JNI, Numba
Mainstream ML / AI skills (deep learning, computer vision, NLP / NLU, reinforcement learning, meta-learning, federated learning)
Ability to grow expertise in constructing distributed machine learning pipeline from scratch

Can you...

Work in a fast-paced retail environment with frequently shifting priorities
Work extended hours; sit for long periods

08-2021

CPFA3232

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