Sr 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 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