(USA) Staff, Data Scientist
Sam's Club
Location
🇺🇸 Milpitas, United States
Type
full_time
Salary
$143k–$286k
Posted
2w ago
Job Description
Position Summary
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What you'll do
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Role summary
: As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and visualization to support decision-making across multiple domains. You will collaborate with cross-functional teams to identify data sources, validate models, and deploy scalable solutions that drive business value. Your contributions will enhance data-driven strategies, ensuring accuracy, robustness, and alignment with organizational goals while mentoring team members and promoting continuous improvement. About the team: Our team develops and enhances the Search, Personalization, and Advertising Data Science platforms that support digital shopping experiences at Walmart and Sam’s Club. We create advanced machine learning and AI-driven algorithms to help millions of customers find relevant products, receive tailored recommendations, and engage with sponsored content throughout their shopping journey. Leveraging expertise in predictive analytics, data strategy, and natural language processing, the team continuously innovates to deliver impactful data solutions that improve customer engagement and drive business value across multiple digital channels.
What you'll do
: • Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis. • Develop and implement data strategies aligned with business objectives to unlock value from data assets. • Build, assess, and validate predictive models using advanced statistical and machine learning techniques. • Create clear, insightful data visualizations to communicate findings effectively to stakeholders. • Translate complex business problems into data-driven solutions and actionable insights. • Collaborate with cross-functional teams to deploy and scale models in production environments. • Mentor junior associates on analytical methods, coding best practices, and data storytelling.