Lead Data Scientist

Caterpillar Caterpillar · Industrial · Mossville, IL +1

Lead Data Scientist role at Caterpillar, focusing on connecting data sources, directing data processes, exploring NLP/text analysis/ML techniques, defining data analysis scope, and conducting research on data model optimization and algorithms. Requires strong statistics, analytical thinking, and machine learning knowledge.

What you'd actually do

  1. Connect various data sources across multiple segments to ensure accurate reporting of metrics.
  2. Direct the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
  3. Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
  4. Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
  5. Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

Skills

Required

  • Business Statistics
  • Accuracy and Attention to Detail
  • Analytical Thinking
  • Machine Learning
  • Programming Languages
  • Query and Database Access Tools
  • Requirements Analysis

Nice to have

  • Snowflake
  • Python
  • PowerBI
  • Data visualization

What the JD emphasized

  • implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques
  • Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses
  • Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.

Other signals

  • implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques
  • research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses
  • Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.