Staff, Data Scientist

Position Summary...

What you'll do...

Immigration sponsorship is not available for this role.

The Staff Data Scientist will leverage advanced analytics, machine learning, and data visualization techniques to deliver actionable insights that support strategic business decisions. This role involves identifying and sourcing relevant data, developing and validating statistical, predictive models, and collaborating with cross-functional teams to translate complex data into clear, impactful solutions. The position requires expertise in programming, statistical analysis, and data strategy to optimize model deployment and scalability. The successful candidate will contribute to continuous improvement initiatives and mentor team members while aligning data-driven outcomes with organizational goals. 

About the Team:  

The Merchandising Analytics team at Sam’s Club delivers data-driven insights and strategic guidance to support Merchants in making informed decisions. This team combines advanced analytics, automation tools, and strategic thinking to drive growth and optimize merchandising performance. Focused on translating complex data into actionable outcomes, the team collaborates across functions to identify opportunities and enhance member understanding. By fostering reliability and forward-thinking analytics, the team plays a key role in shaping the future of merchandising, ensuring data informs strategies that strengthen Sam’s Club’s leadership in retail. 

What You'll Do:   

• Identify and source relevant data from multiple business domains and distributed data stores to support analytics initiatives. 
• Perform initial data quality assessments and ensure data meets business requirements and governance standards. 
• Develop, validate, and tune predictive models using advanced statistical and machine learning techniques to solve complex business problems. 
• Create clear and impactful data visualizations to communicate insights and model outcomes to stakeholders. 
• Collaborate with cross-functional teams to translate business needs into data-driven solutions and actionable recommendations. 
• Deploy and monitor models in production, ensuring scalability and performance alignment with defined metrics. 
• Mentor team members on analytical methods, coding best practices, and data science workflows. 
• Bridge business and analytics by applying a consultative mindset to data science problems—evaluate whether a problem is worth solving, assess downstream impacts, and ensure solutions align with broader business goals. 
• Design and implement advanced recommendation and assortment models tailored to merchant behaviors, with a focus on quality and pricing optimization across diverse product categories. 
• Develop sophisticated anomaly detection and clustering models that uncover patterns, inflection points, and root causes—delivering actionable insights quickly and accurately for specific categories. 
• Build isolation matrices and causal inference frameworks to drive data-driven decision-making and uncover hidden drivers of business performance. 
• Will be a hands-on technical leader, quickly identifying the right algorithms and approaches to solve complex problems and delivering high-impact solutions with speed and precision. 

What You'll Bring:  

• Proven expertise