Senior, Data Scientist - Membership Insights… at Walmart · Bentonvil…

Senior, Data Scientist - Membership Insights (Contact Center) Location: (USA) Sam's Home Office AR Bentonville Home Office Position Summary... At Sam’s Club, we’re member obsessed — and data powered. As a Senior Data Scientist - Membership Insights (Contact Center), you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role involves designing and validating predictive models, ensuring data quality, and collaborating with cross-functional teams to translate complex business challenges into actionable insights. You will also mentor junior associates, contribute to data strategy, and support scalable model deployment. Your expertise in statistical analysis, machine learning, and data visualization will drive informed decision-making and enhance operational effectiveness across the organization. About the team: The Contact Center Data Science team, part of the Member Insights organization, develops advanced statistical and machine learning models to enhance understanding and prediction of member behavior. The team focuses on optimizing Voicebot and Chatbot performance through data-driven experimentation and behavioral analysis. It also creates dashboards to monitor key performance indicators, enabling detailed tracking and operational insight across contact center workflows. This collaborative team leverages expertise in data science, predictive analytics, and visualization to support informed decision-making and continuous improvement in member engagement strategies. What you'll do... Identify and source relevant data from multiple business domains and databases to support analytical initiatives. Build and train AI/ML models with a focus on scalability and reusability. Conduct thorough data quality assessments and ensure data integrity for accurate model development. Develop, test, and validate advanced predictive models using statistical and machine learning techniques. Deploy scalable analytical models into production environments, ensuring performance and sustainability. Create clear and impactful data visualizations to communicate insights to stakeholders and influence decision-making. Translate complex business problems into data-driven solutions aligned with organizational strategy.