Lead Data Scientist

Caterpillar Caterpillar · Industrial · Kosice, Slovakia

Lead Data Scientist at Caterpillar Digital in Slovakia, focusing on developing condition monitoring models using machine learning and time-series sensor data to predict equipment failures and estimate remaining useful life. The role involves leading a team, exploring and implementing ML/AI/GenAI projects, and collaborating with management and leadership.

What you'd actually do

  1. Leading people, monitoring their projects, providing help, mentorship, and guidance.
  2. Leading, exploring, developing, promoting, and implementing various projects focused on Machine Learning, AI, and Generative AI.
  3. Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.
  4. Interacting and collaborating closely with the Analytics management team.
  5. Reporting and presenting team results to leadership.

Skills

Required

  • Python (NumPy, SciPy, pandas, etc.)
  • Machine Learning techniques (Clustering, Logistic Regression, Random Forests, SVM, Neural Networks)
  • Data mining and cleaning
  • People management and supervision

Nice to have

  • Cloud technologies (AWS, Azure, Google Cloud, etc)
  • Version control / repositories such as GitHub
  • Agile environment experience

What the JD emphasized

  • Extensive experience applying Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
  • Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
  • Extensive experience in conducting data mining and cleaning initiatives.
  • Strong people management and supervision skills.

Other signals

  • develop condition monitoring models
  • predict equipment failure modes
  • estimate remaining useful life
  • build equipment risk models
  • Machine Learning, AI, and Generative AI