10 applied data scientist jobs at 1 company in Cave Springs, AR
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(USA) Principal, Data Scientist - Applied AI
Bentonville or Sunnyvale
$110k-$220k/yrOnsiteFull Time
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
3+ YOERequires a bachelor's degree and 5 years, master's degree and 3 years, or 7 years of analytics experience; expertise in production AI systems, Python, SQL, data engineering, and AI evaluation.
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
3+ YOEExperience building and deploying production AI/LLM systems, strong software engineering in Python, evaluation methods, data engineering and SQL knowledge; options for degree+experience or extensive experience (see degree requirements).
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
1+ YOEExperience building and deploying production AI/LLM systems, strong software engineering in Python, knowledge of evaluation methods, data engineering and SQL, and ability to translate business problems to production solutions. Degree + experience combinations accepted.
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
1+ YOERequires a bachelor's degree and 3 years of analytics experience, a master's degree and 1 year, or 5 years of analytics experience. Requires production AI experience, Python, SQL, data engineering, evaluation methods, and stakeholder collaboration.
(USA) Senior, Data Scientist - Retail Intelligence
Bentonville, Arkansas, United States
$90k-$180k/yrOnsiteFull Time
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
1+ YOEBachelor's degree plus 3 years, master's degree plus 1 year, or 5 years of analytics experience; expertise in data science, machine learning, optimization, or applied AI.
Staff, Data Scientist (Pricing/Reinforcement Learning)
Bentonville or Sunnyvale
$110k-$220k/yrOnsiteFull Time
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
8+ YOERequires 8+ years in data science/applied ML or stated degree-and-experience alternatives, production optimization experience, Python, deep learning, causal modeling, and pricing or elasticity expertise.
Staff, Data Scientist (Pricing/Reinforcement Learning)
Bentonville or Sunnyvale
$110k-$286k/yrOnsiteFull Time
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
4+ YOERequires a bachelor's degree and 4 years, master's degree and 2 years, or 6 years of analytics experience. Requires expertise in pricing, applied machine learning, optimization, Python, and production model development.
Python, Spark, Scala, R, scikit-learn, TensorFlow, PyTorch, Microsoft Azure, Google Cloud Platform, MLOps, CI/CD, Feature Stores, GNNs, PPO, DQN
Principal, Data Scientist, Agentic AI Systems Engineering & Model Post-Training
Bentonville, Arkansas, United States
$110k-$220k/yrOnsiteFull Time
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
8+ YOE8+ years of hands-on software, machine learning, or applied AI engineering; deep agentic AI and model post-training experience; strong Python and backend/full-stack skills; production distributed systems and cloud experience.
Principal, Data Scientist, Agentic AI Systems Engineering & Model Post-Training
Bentonville, Arkansas, United States
$110k-$220k/yrOnsiteFull Time
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
8+ YOE8+ years in software, machine learning, or applied AI engineering; deep agentic AI, software, ML engineering, model post-training, Python, full-stack systems, distributed systems, cloud, and production operations experience.
Pydantic AI, LangGraph, LangChain, AutoGen, LlamaIndex, Model Context Protocol (MCP), React, TypeScript, Kafka, Flink, Spark, OpenTelemetry, Grafana, Google Cloud Platform (GCP), Kubernetes, Docker, CI/CD, Python, Go, Java, Claude Code, Codex, Cursor, Copilot, Microsoft Excel, scikit-learn, TensorFlow, Torch, Scala, R, WCAG 2.2 AA
Senior Manager, Data Science - Inventory Capabilities
Bentonville, Arkansas, United States
$110k-$220k/yrOnsiteFull Time
WalmartNYSE: WMT: Global retail, e-commerce, and supply chain.
5+ YOEAdvanced experience in applied data science, optimization, forecasting, and ML; ability to build and deploy models at scale; strong stakeholder influence and communication; relevant degree or equivalent experience (options listed).