5 applied data scientist jobs at 2 companies in Pineville, MO
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(USA) Principal, Data Scientist - Applied AI
Bentonville or Sunnyvale
$110k-$220k/yrOnsiteFull Time
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
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).
Dallas or Frederick or Joplin or Phillipsburg or Tuscaloosa
OnsiteFull Time
TAMKO Building Products: Manufactures residential and commercial roofing and decking products.
4+ YOEBachelor's in a quantitative field, 4+ years related experience, proficiency in Python and SQL, experience with ML on tabular/time-series data, applied statistics/Six Sigma knowledge, production deployment and MLOps experience.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
3+ YOE3+ years experience applying ML and advanced analytics or equivalent; expertise in causal inference, Marketing Mix Modeling, experimentation, production ML systems; proficiency in Python and SQL.
Staff, Data Scientist (Pricing/Reinforcement Learning)
Bentonville or Sunnyvale
$110k-$286k/yrOnsiteFull Time
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
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
Senior Manager, Data Science - Inventory Capabilities
Bentonville, Arkansas, United States
$110k-$220k/yrOnsiteFull Time
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
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).