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