Data Science Ai Pod Member

Caterpillar Inc.

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Designing, developing, validating, and deploying data science and ai solutions
Hands-on analytical, modeling, and engineering work
Design, build, test, and iterate on data science, machine learning, and generative ai (genai) solutions
** Caterpillar Inc. is seeking a Data Science AI Pod Member to contribute to the design, development, and deployment of data science and AI solutions. The role requires collaboration within a multidisciplinary team and focuses on delivering high-quality technical deliverables while adhering to responsible AI principles. **

Job Summary

  • Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.
  • The Data Science Pod Member is an individual contributor responsible for designing, developing, validating, and deploying data science and AI solutions as part of a multidisciplinary pod.
  • Together, we are building a better world, so we can all enjoy living in it.

Matching Summary

Match Score: 75

** Caterpillar Inc. is seeking a Data Science AI Pod Member to contribute to the design, development, and deployment of data science and AI solutions. The role requires collaboration within a multidisciplinary team and focuses on delivering high-quality technical deliverables while adhering to responsible AI principles. **

Skills & Requirements

Must-have

  • designing, developing, validating, and deploying data science and AI solutions
  • hands-on analytical, modeling, and engineering work
  • design, build, test, and iterate on data science, machine learning, and Generative AI (GenAI) solutions
  • LLM-based systems, retrieval-augmented generation (RAG), agents, and multimodal use cases
  • production-ready code, notebooks, pipelines, and model artifacts
  • adhering to enterprise standards and Responsible AI principles

Nice-to-have

  • building a better world
  • creating stronger, more sustainable communities
  • collaboration with diverse engineering teams
  • continuous improvement and innovation

Key Requirements

  • Bachelor’s degree in engineering, computer science, data science, mathematics, statistics, or a related field (or equivalent practical experience)
  • Advanced degree (Master’s or PhD) in artificial intelligence, machine learning, engineering, mathematics, physics, or a closely related field is considered an advantage
  • Proficiency in relevant programming languages and tools (e.g., Python, SQL, notebooks, ML frameworks)
  • Knowledge of AI and Generative AI concepts, risks, and opportunities

Work Rights

Not specified

Tailored Resume

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