H-E-B

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