Distinguished Ml Data Scientist

Aveva Group

Europe
3 days onsite
Machine learning
Advanced analytics
Data science
AVEVA Group is looking for a Distinguished Machine Learning Data Scientist to lead the development of AI and ML solutions for industrial applications. The ideal candidate should have extensive experience in data science, advanced analytics, and emerging AI techniques, along with strong communication skills

Job Summary

  • This is a hand-on lead role driving the investigation, incubation, and development of new AI and ML solutions to be incorporated into AVEVA’s industrial AI offerings.
  • Investigate and recommend algorithmic/data science solutions to industrial problems, define and translate ambiguous concepts into well-defined questions, and drive analysis of complex datasets for insights.
  • AVEVA is creating software trusted by over 90% of leading industrial companies and offers a comprehensive benefits package.

Matching Summary

Match Score: 85

AVEVA Group is looking for a Distinguished Machine Learning Data Scientist to lead the development of AI and ML solutions for industrial applications. The ideal candidate should have extensive experience in data science, advanced analytics, and emerging AI techniques, along with strong communication skills.

Skills & Requirements

Must-have

  • Machine Learning
  • Advanced Analytics
  • Data Science
  • Frontier AI applications
  • Python, SQL, R proficiency
  • Model evaluation, training, tuning, monitoring, governance

Nice-to-have

  • Industrial domains experience
  • Mentoring junior team members
  • Leading technical programs end-to-end
  • Compelling storyteller
  • Influence AI roadmaps and technology direction

Key Requirements

  • 12+ years of experience in data science, advanced analytics, ML engineering
  • 4+ years in hands-on statistical modeling, machine learning, data pipelines
  • Master's degree in Computer Science, Data Science, Statistics or related field
  • PhD degree preferred
  • Recent experience with modern AI paradigms
  • Experience in responsible deployment practices
  • Experience with privacy-preserving federating learning
  • Exceptional communication and presentation skills

Work Rights

Not specified

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