2967 Data Scientist jobs in Calabasas, CA
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Manager, Data Scientist

KPMG-UnitedStates

Los Angeles, CA

~ 37 min OnsiteUrgently HiringHealth InsuranceRetirement Benefit

  • Manager, Data Scientist
  • Master's degree from an accredited college / university in Computer Science, Statistics, Data Science, Engineering, or related fields
  • Ability to apply artificial intelligence techniques to achieve concrete business goals
  • Proficiency in delivering analytics projects using leading processes including expert knowledge of data discovery, cleaning, model selection, validation, and deployment
  • Ability to travel up to eighty percent of the time
  • Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
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Scientist

Cedars-Sinai

Los Angeles, CA

No Experience
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Product Manager

TicketManager

Calabasas, CA

$75,000-$85,000/yr
Health InsurancePaid Time OffRetirement Benefit
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AI & Data - Responsible AI (RAI) - Manager - US Consulting

Ernst & Young Oman

Los Angeles, CA

Hybrid~ 37 minHealth InsurancePaid Time OffRetirement Benefit

  • Extensive experience in AI ethics, responsible AI, or related fields, with a strong understanding of AI technologies and their ethical implications.
  • Experience designing, implementing or assessing AI Governance Frameworks, AI Risk Management Frameworks and Standards.
  • Experience developing detailed technical documentation for AI systems.
  • 3-6 years of experience in AI risk management, AI Governance, Responsible AI, AI and/or Machine Learning development.
  • Understanding of continuous integration and deployment methodologies.
  • Deep understanding of model performance measurement metrics, including specific techniques and platforms used to monitor and manage model performance.
  • Strong data science and/or data engineering experience.
  • A solid understanding of Machine Learning (ML) workflows including ingesting, analyzing, transforming data and evaluating results to make meaningful predictions.
  • Knowledge in prevalent AI specific regulations such as EU AI Act as well as standards and frameworks such as NIST AI RMF and ISO 42001.
  • Typically, no less than 2 - 4 years relevant experience.
  • Proficiency in model testing, evaluation, validation and verification techniques.
  • Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
  • Knowledge of natural language processing and image processing techniques.
  • Bachelor's degree required (4-year degree) in Mathematics, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
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