Data Science & AI Solutions Consultant

Caterpillar Caterpillar · Industrial · Nashville, TN

This role focuses on leveraging data science and machine learning techniques to support data-driven business decisions within Caterpillar Financial. Responsibilities include data gathering, processing, modeling, and implementing semantic data capabilities using NLP and ML. The role also involves conducting research on data model optimization and algorithms, and applying ML expertise to develop and deploy production-ready solutions. Familiarity with Generative AI and LLMs is also mentioned.

What you'd actually do

  1. Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
  2. Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
  3. Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
  4. 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

  • Applied Data Science & Machine Learning Expertise
  • Strong Python Development Skills
  • Machine Learning Deployment & MLOps Fundamentals
  • Data Engineering & Analytics Foundations
  • Code Quality, Testing & Documentation
  • Generative AI & LLM Awareness
  • GitHub & CI/CD Development Practices
  • Independent Problem Solving in a Fast-Paced Environment

What the JD emphasized

  • production-ready machine learning and data science solutions
  • Machine Learning Deployment & MLOps Fundamentals
  • Generative AI & LLM Awareness

Other signals

  • implementing semantic data capabilities
  • machine learning techniques
  • data model optimization and algorithms
  • production-ready machine learning and data science solutions
  • Generative AI & LLM solution patterns