Data Scientist in Bentonville, Arkansas

Senior Data Scientist

$110,000 - $220,000/yr Regular/ Permanent Salaried Position

Summary... What you'll do... Key Responsibilities for Senior Data Scientist

Translate complex business challenges into analytical solutions. Collaborate with cross-functional teams to define requirements, identify opportunities, and deliver scalable, data-driven solutions.

Identify, evaluate, and leverage diverse datasets. Ensure data quality and apply feature engineering techniques to support robust modeling and analyses.

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.

Validate and monitor AI/ML models post-deployment, leveraging MLOps best practices such as CI/CD pipelines, performance tuning, and effective systems integration.

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.

Contribute to scientific knowledge by publishing research in top-tier journals and conferences. Develop patents to protect novel innovations.

Deliver clear, impactful insights through compelling data visualizations, reports, and presentations. Collaborate with stakeholders to ensure solutions align with organizational priorities.

Mentor team members and interns, offering guidance on research methods, problem-solving, and career development.

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, 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.

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.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. 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.

You will also receive PTO and/or PPTO that can be used for…