38 machine learning scientist jobs at 2 companies in Aurora, MO
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Data Scientist III - Fraud Analytics & Machine Learning
Bentonville, Arkansas, United States
OnsiteFull Time
2+ YOEBachelor's degree in a listed quantitative or technology field with 2 years of analytics experience, or master's degree, or 4 years of analytics experience; proficiency in Python and SQL and experience with large datasets.
Python, SQL, R, Spark, Hive, BigQuery, Tableau, Microsoft Power BI, Looker, Scala, scikit-learn, TensorFlow, Torch, Machine Learning, Generative AI, LLMs, Web Content Accessibility Guidelines (WCAG)
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Data Scientist III - Fraud Analytics & Machine Learning
Bentonville, Arkansas, United States
$90k-$180k/yr OnsiteFull Time
2+ YOEBachelor's degree plus 2 years in analytics, master's degree, or 4 years in analytics. Requires statistical problem-solving, large datasets, SQL, Python, and experience with distributed computing or visualization tools.
Python, SQL, Spark, Hive, BigQuery, Tableau, Microsoft Power BI, Looker, R, Scala, scikit-learn, TensorFlow, Torch, Large Language Models (LLMs), Web Content Accessibility Guidelines (WCAG)
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Senior Data Scientist
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$87k-$294k/yr HybridFull Time
6+ YOE6+ years in data science, AI, analytics, Responsible AI, or consulting; bachelor's or master's in a quantitative field; Python, SQL, machine learning, generative AI, governance, and client leadership experience.
Python, pandas, NumPy, scikit-learn, PyTorch, TensorFlow, XGBoost, SQL, MLOps, GenAIOps, LLMOps, AWS, Microsoft Azure, Google Cloud
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