About
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 role 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 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 deploys 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 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
Languages
- English
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