(USA) Senior Director, Data Science

Position Summary...

What you'll do...

About the Role 

Imagine shaping the future of retail at Sam’s Club, where rapid growth and innovation are at the forefront of everything we do. As the Senior Director of Data Science, you will play a pivotal role in this transformation. Picture yourself working directly with executive business leaders to drive strategic decisions that connect the digital and physical worlds, enhancing the omni-channel journey for our members. 

At Sam’s Club, we are people-led and tech-powered. Our data and insights shape how we serve our members, and your expertise will influence and redefine problem statements, creating data-driven solutions that deliver real-world impact. You will be at the heart of our strategic thinking and transformation, working closely with stakeholders to understand complex organizational challenges and leveraging your knowledge and ability to tell compelling stories using data and insights to drive action and change. 

This is more than just a role; it’s an opportunity to make a step change in the business, where your contributions will be recognized and valued and where you will get to work with teams and partners who are exceptional. If you are: passionate about leveraging insights to deeply understand our members and uncover opportunities to serve them better, excited about using insights to drive our strategy, thrilled about transforming with data and insights, and love working with and leading great teams in a collaborative and supportive culture, join us on this exciting journey. 

Key Responsibilities 

Business Context Understanding and Tech Problem Formulation: Requires a deep understanding of analytics, big data, and automation techniques, as well as a strong grasp of business practices across two or more domains such as merchandising, marketing, product, technology, finance, and human resources. Collaborate with various stakeholders to comprehend complex organizational problems and create effective technology-focused solutions. Influence the business to refine problem statements and design data-driven, multi-stage solutions. Redefine analytics goals and deliverables by leveraging their experience with business problems and identifying ROI. The role also demands knowledge of industry and environmental factors, and relevant business metrics. Evaluate or articulate business cases with clear ROI, translate requirements into strategic initiatives, and drive their execution. Proactively engage with the external community to enhance Walmart's brand and stay updated on industry practices. 

Guide teams in analytical modeling, including feature relevance and selection, exploratory data analysis, and advanced statistical methods. Ensure continuous improvement of data analysis models, drive exploratory work in new areas of math, statistics, machine learning, and optimization, and leverage innovative data sources. Provide strategic direction for the development of automated feature generation frameworks, standardized EDA processes, and experimentation best practices. Oversee the use of the latest machine learning techniques and guiding the creation of predictive models and prototypes. 

Oversee model assessment and validation, ensuring robust testing and tuning of models to achieve accuracy and reliability. Lead the deployment and scaling of models, ensuring sustainability and effective monitoring practices. Collaborate with key stakeholders to create user interfaces that support model use. Ensure comprehensive documentation, providing progress updates, and ensuring the successful deployment of solutions. 

Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Da