Data Scientist III

701 Excellence Dr, Bentonville, AR

As a Data Scientist at Walmart Global Tech, your role will involve driving initiatives across inbound, outbound, and last-mile forecasting, optimizing pricing and space, implementing MLOps solutions, and designing, developing, and deploying AI agents leveraging LLMs and advanced ML/DL models that serve millions of our customers worldwide.

• Problem Formulation & Business Collaboration
  :
  Translate complex business challenges into analytical solutions. Collaborate with cross-functional teams to define requirements, identify opportunities, and deliver scalable, data-driven solutions.
• Data Exploration & Preparation
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  Identify, evaluate, and leverage diverse datasets. Ensure data quality and apply feature engineering techniques to support robust modeling and analyses.
• Advanced AI/ML Development
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  Design and develop state-of-the-art algorithms, AI/ML models, and optimization techniques to generate actionable business insights. Focus on interpretability, scalability, and strategic impact.
• Model Deployment & MLOps
  :
  Validate and monitor AI/ML models post-deployment, leveraging MLOps best practices such as CI/CD pipelines, performance tuning, and effective systems integration.
• Research & Innovation
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  Conduct cutting-edge research in machine learning, AI (including generative/agentic AI), optimization, and related areas. Stay updated on advancements in academia and industry through continuous learning and literature reviews.
• Communication & Visualization
  :
  Deliver clear, impactful insights through compelling data visualizations, reports, and presentations. Collaborate with stakeholders to ensure solutions align with organizational priorities.

Excellent communication and stakeholder management skills, with the ability to convey modeling decisions and results to both technical and non-technical audiences. Proven experience working with cross-functional teams (engineering, product, operations) to deliver measurable impact. Expertise in Python, with proficiency in libraries such as Pandas/Polars, Num Py, PySpark, Tensor Flow and/or PyTorch, and a strong understanding of GPU utilization. Extensive hands‑on experience in software development, mathematical/scientific computing, and deploying large-scale AI/ML/DS solutions in parallelized cloud compute environments (ideally GCP).

Strong understanding and practical application of MLOps concepts like traceability, reproducibility, and scaling, using tools such as Google Vertex, MLFlow, or ClearML. Expertise in building and orchestrating ML pipelines, ETL/ELT data pipelines, and data-driven applications  of transformers, embeddings, and their practical applications. Practical experience with Dev Ops tools and practices, such as Git/Git Hub/Git Hub Actions and infrastructure‑as‑code methodologies.

Familiarity with agentic and multi-agent frameworks (e.g., tool‑use, retrieval‑augmented generation, policy learning) and their production integration, including safety mechanisms and evaluation harnesses. Hands‑on experience with experimentation platforms, sequential decisioning (e.g., A/B testing, contextual bandits), and designing metrics for uplift measurement. Knowledge of serverless architecture or microservices implementation (e.g., API Gateway, FastAPI, VM‑hosted solutions). Background in logistics, supply chains, or delivery operations, with an ability to influence stakeholders through insight-driven storytelling.

• Master’s degree in computer science, Machine Learning, Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a closely related quantitative field.
• At least 3 years of professional experience in an ML or Optimization Model development‑focused role.

• PhD in Computer Science, Machine Learning, Operations Research, Statistics, Optimization, Data Analytics, Mathematics, or a comparable quantitative field.
• A history of research contributions, with publications in leading academic conferences and journals, open-source code contributions, and intellectual property generation.

• Competitive base salary range $90,000 - $180,000 with performance-based bonus awards.
• Health, vision, and dental coverage.
• 401(k) plan with company match and stock purchase plan.
• Paid time off including sick leave, parental leave, family care, bereavement, jury duty, and voting.
• Short- and long-term disability coverage.
• Military leave pay and adoption/surrogacy expense reimbursement.