Data Scientist - Business Analytics & Ml

Kia Motors

Irvine, CA, US
Base: $89,936 - $121,409; bonus/equity: not specif...
On-site
Python and sql proficiency
Applied machine learning concepts
Statistical and machine learning models
Kia Motors is seeking a Data Scientist to join their Business Analytics & Machine Learning team in Irvine, CA. The ideal candidate will have strong expertise in statistics, machine learning, and data analysis, with a focus on generating insights that drive business improvements

Job Summary

  • The Data Scientist plays an important role in executing data analysis for Kia North America’s regional subsidiaries.
  • This position supports the application of data, analytics, automation, and responsible AI to advance Kia’s business operations.
  • Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off.

Matching Summary

Match Score: 85

Kia Motors is seeking a Data Scientist to join their Business Analytics & Machine Learning team in Irvine, CA. The ideal candidate will have strong expertise in statistics, machine learning, and data analysis, with a focus on generating insights that drive business improvements.

Salary

Base: $89,936 - $121,409; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python and SQL proficiency
  • applied machine learning concepts
  • statistical and machine learning models
  • big data processing frameworks
  • data analysis and statistical foundations

Nice-to-have

  • collaborative and innovative culture
  • thinking differently and challenging status quo
  • learning and opportunity culture
  • deep learning a plus
  • advanced statistical techniques

Key Requirements

  • 3+ years of experience in data science
  • Bachelor’s degree in a quantitative field
  • Master’s degree in a quantitative field preferred
  • Experience querying databases
  • Experience using statistics and machine learning algorithms
  • Experience with big data processing frameworks

Work Rights

Not specified

Tailored Resume

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