Data Scientist

Caterpillar Caterpillar · Industrial · Morton, IL

Data Scientist role focused on developing data-driven solutions for dealer inventory management and customer service outcomes. The role involves collecting, processing, and analyzing large datasets, applying ML, NLP, and text analytics, developing scalable data models, and collaborating with stakeholders to translate business problems into analytical solutions. It also includes generating insights using data visualization tools and researching improvements to models and algorithms, working with platforms like Python, SQL, Snowflake, and Azure.

What you'd actually do

  1. Support the development of data-driven solutions that enhance dealer inventory management and improve customer service outcomes.
  2. Lead and support the collection, processing, and analysis of large, complex data sets, ensuring data is cleansed, structured, and ready for advanced analytics.
  3. Develop and maintain scalable data models to support high-volume data processing and business decision-making.
  4. Apply machine learning, natural language processing (NLP), and text analytics techniques to extract meaningful insights and enhance data capabilities.
  5. Collaborate with cross-functional stakeholders to define data analysis requirements, scope projects, and translate business problems into analytical solutions.

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

  • Python
  • SQL
  • Power BI
  • Azure
  • Snowflake
  • Dataiku
  • supply chain analytics
  • logistics analytics
  • operations analytics

What the JD emphasized

  • machine learning
  • natural language processing
  • text analytics
  • data models
  • predictive models

Other signals

  • machine learning
  • natural language processing
  • text analytics
  • data models
  • predictive models