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Walmart is a global retail and eCommerce company serving consumers through hypermarkets, discount department stores, grocery locations, and an online marketplace. Its broad product offering is supported by a large physical-store network, direct-to-consumer operations, and the logistics and supply-chain systems needed to keep products moving across the business.
Principal Data Scientist - Causal Inference & Machine Learning - Walmart Bentonville Onsite
Lead retail AI and causal analytics initiatives at Walmart by developing scalable models, experiments, and decision tools. Translate complex questions into measurable insights for suppliers and retail stakeholders.
Description
- Lead data science programs spanning recommendations, customer voice, market research, product innovation, segmentation, forecasting, measurement, and decision intelligence
- Convert ambiguous business questions into testable hypotheses with defined metrics and decision criteria
- Develop, validate, deploy, monitor, and refine predictive, causal, and machine learning solutions
- Create experiments and causal measurement methods, including A/B testing, uplift modeling, difference-in-differences, and synthetic control
- Partner with agentic AI teams to address questions about measurement, impact, and causal drivers
- Coach team members in coding, modeling, visualization, and analytical storytelling
- Present insights that shape decisions and generate business value
Requirements
- Bachelor’s degree in statistics, economics, analytics, mathematics, computer science, information technology, or a related field plus 5 years of analytics experience; or a master’s degree in one of these fields plus 3 years of experience; or 7 years in analytics or a related field
- Advanced knowledge of data science, statistics, machine learning, experimentation, measurement, and causal inference
- Demonstrated ability to translate unclear business challenges into focused hypotheses, scalable analytical approaches, and measurable results
- Strong Python programming skills and a record of delivering production-quality data science solutions
- Experience deploying, monitoring, and enhancing models or decision tools in collaboration with engineering teams
- Working knowledge of emerging agentic AI architectures, systems, and evaluation approaches
- Experience with AI-assisted coding and engineering tools
- Ability to mentor colleagues in coding, modeling, visualization, and analytical communication
- Sound business judgment and communication skills for influencing product, engineering, and executive stakeholders
Benefits
- Performance-based bonus awards
- Medical, vision, and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- Paid time off, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short- and long-term disability
- Company discounts
- Military leave pay
- Adoption and surrogacy expense reimbursement
- Live Better U education benefit with tuition, books, and fees fully paid
- English language learning, high school completion, bachelor’s degree, and short-form certificate programs
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes
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