Senior Data Scientist, Gen AI Delivery

Caterpillar Inc.•Peoria, IL

1d•$112,710 - $183,140•Onsite

About The Position

Join the Gen AI Delivery team of Cat Digital and be responsible for bringing world class GenAI capabilities to our products and services. Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Cat® Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital and analytics solutions for our customers and dealers. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. With over 1.5M connected assets worldwide, our business and in the industries, we serve, data is generated continuously by Cat® equipment using the latest technology, advanced analytics, telematics and AI capabilities to help our customers build a better world.

Requirements

Knowledge of statistical tools and processes to describe results; ability to use statistical tools, including experiment design for LLM evaluation, to assist in making data-driven business decisions.
Knowledge of techniques to promote effective analysis; ability to determine the root cause of organizational problems and architect agentic workflows that decompose complex tasks into autonomous sub-tasks.
Knowledge of algorithms and principles; ability to develop and deliver Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous systems.
Solid understanding of software engineering and clean code; ability to utilize Python and deep learning frameworks to conduct AI research, build rapid prototypes, and iterate on diverse Generative AI applications, including but not limited to agentic workflows.
Ability to elicit and record business requirements to ensure the success of AI-driven products, incorporating human-in-the-loop (HITL) reviews and safety guardrails for autonomous system development.

Nice To Haves

Proven ability to lead and guide a team of data scientists, providing technical mentorship and fostering a collaborative research environment.
Graduate degree (Master's or Ph.D.) in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field.
At least 3 years of professional experience in Data Science and Machine Learning.
At least 1 year of professional experience in the Generative AI domain, specifically working with Large Language Models (LLM).
Advanced proficiency in Python for carrying out AI research and developing rapid prototypes for diverse AI applications.
Foundational knowledge in LLM as well as other AI domains such as computer vision, speech and exposure to agentic AI architectures.
Experience to evaluate generated content from Large Language Models using both automated metrics and human-in-the-loop methodologies.
Solid understanding of AI observability tools like LangSmith, Langfuse, or AgentOps to monitor traces, identify logic bottlenecks, and debug agent reasoning.
Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model development, data handling, and AI service integration.

Responsibilities

Fine-tuning, implementing, developing, and optimizing models used in generative AI solutions
Staying updated with the latest advancements in AI and machine learning algorithms and integrating them into the team's projects
Conducting experiments to test the performance of different models and approaches, and iterating based on the results
Agentic GenAI solution research and best approach to implement solutions
Providing guidance and mentorship to junior data scientists and other team members