Data Scientist III

Position Summary

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 globally.

What you'll do...

• 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: Identify, evaluate, and leverage diverse datasets. Ensure data quality and apply feature engineering techniques to support robust modeling and analyses.
• Advanced AI/ML Development: 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: 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.

What You Bring

• 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, NumPy, PySpark, TensorFlow 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 at scale.
• Solid grasp of transformers, embeddings, and their practical applications.
• Practical experience with DevOps tools and practices, such as Git/GitHub/GitHub Actions and infrastructure-as-code methodologies.
• Nice to Have:
• 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

Additional Compensation

Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : Stock

Benefits

• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

Live Better U

The Live Better U program is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For Information About Benefits And Eligibility, See One.Walmart.

Annual Salary Range

The annual salary range for this position is $90,000.00 - $180,000.00

Primary Location

701 Respect Dr, Bentonville, AR 72716, United States of America

Drug-Free Workplace

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.