(USA) Distinguished, Data Scientist
About The Position
As a Distinguished Data Scientist on Walmart Marketplace Trust, you will lead the design and deployment of trust-focused machine learning systems that help build customer trust and improve trust and safety across the Marketplace. You will define scalable ML architectures and lifecycle processes to assess millions of transactions and sellers for real-time and near-real-time decision-making, and deliver measurable business outcomes. The role involves developing advanced machine learning and agentic models for complex business challenges, with a focus on data and feature strategy, predictive anomaly detection, and deep learning. You will collaborate with engineering, product, and business teams to turn business needs into scalable data solutions, promote data quality and governance, mentor team members, and advance data science practices. Walmart Global Tech’s Marketplace Engineering team supports a fast-growing eCommerce platform. It helps thousands of sellers manage digital storefronts and optimize listings, pricing, and inventory, while providing seamless pre- and post-order experiences through resilient systems and real-time data integrations across Walmart’s ecosystem.
Requirements
- Extensive knowledge of fraud, risk, or trust modeling in online environments; marketplace experience is preferred.
- Strong expertise designing, developing, and deploying advanced machine learning models.
- Comprehensive experience building, training, evaluating, and deploying deep learning models.
- Expertise in data analysis, feature engineering, feature selection, and feature strategy.
- Experience designing scalable ML architectures and end-to-end ML lifecycle processes, including deployment, monitoring, and continuous improvement.
- Experience developing ML solutions that process large volumes of transactions and seller data for real-time or near-real-time decision-making.
- Ability to translate complex business problems into data science solutions that deliver measurable outcomes and align with strategic objectives.
- Demonstrated ability to lead data science initiatives, provide technical direction, mentor team members, and establish machine learning best practices.
- Strong collaboration skills working with engineering, product, and business teams.
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 6 years of experience in an analytics-related field; or a master’s degree in one of these or a related field and 4 years of such experience; or 8 years of experience in an analytics or related field.
Nice To Haves
- Experience in data science, machine learning, or optimization models.
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
- Publications or active peer-review experience in related journals or conferences.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
- Knowledge of inclusive digital experiences and WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.
Responsibilities
- Design and develop trust-focused machine learning systems to strengthen customer trust and improve trust and safety across Walmart Marketplace.
- Establish scalable ML architectures for real-time and near-real-time decisions across millions of transactions and sellers.
- Define and implement end-to-end ML lifecycle processes, including data preparation, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
- Develop and deploy advanced machine learning and agentic models to address complex business challenges.
- Collaborate with cross-functional teams to translate business requirements into scalable data solutions and ensure data quality and governance standards.
- Mentor team members on analytical methods, model validation, and best practices.
- Deliver business outcomes aligned with Walmart’s strategic objectives.
Benefits
- Competitive pay and performance-based bonus awards.
- Medical, vision, and dental coverage.
- 401(k).
- Stock purchase plan.
- Company-paid life insurance.
- Paid time off, including sick leave; parental leave; family care leave; bereavement leave; jury duty leave; and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
- Live Better U education benefit for eligible full-time and part-time associates; tuition, books, and fees are paid by Walmart.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
