Data Science & AI Solutions Consultant

Caterpillar Inc.•Nashville, TN

19h•$97,728 - $151,572•Onsite

About The Position

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. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Our common values and focus on inclusion and respect drive the decisions made by our company, teams and people. This is why we are committed to hiring and building diverse teams representative of the customers we serve globally. When you join our team, you can apply your unique life and job experiences and work in an environment where your ideas are heard, your contributions are celebrated, and your whole-self matters. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. About Cat Financial Cat Financial is a subsidiary of Caterpillar Inc., 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 more than 40 years, Cat Financial has provided a wide range of financing solutions to customers and Cat® dealers for machines, engines, Solar® gas turbines, genuine Cat parts and services. Headquartered in Nashville, Tennessee, Cat Financial serves customers globally with offices and subsidiaries located throughout North and South America, Asia, Australia, Europe and Africa. Visit cat.com to learn more about Cat Financial. Role Definition Performs analytical tasks and initiatives on huge amount of data to support data-driven business decision and development.

Requirements

Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Analytical Thinking: Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Nice To Haves

Applied Data Science & Machine Learning Expertise - Proven ability to design, develop, and deliver production-ready machine learning and data science solutions that solve business problems and create measurable value.
Strong Python Development Skills - Experience developing solutions in Python, including package management, testing, automation, and creating reusable code to support analytics and machine learning initiatives.
Machine Learning Deployment & MLOps Fundamentals - Experience developing, deploying, and supporting machine learning models, with familiarity in platforms such as Snowflake ML, AWS SageMaker, or similar environments.
Data Engineering & Analytics Foundations - Strong SQL skills and working knowledge of Snowflake or similar cloud data platforms, including data preparation, transformation, and analytical solution development.
Code Quality, Testing & Documentation - Demonstrated commitment to code quality through peer reviews, testing, documentation, and adherence to development best practices.
Generative AI & LLM Awareness - Working knowledge of Generative AI and LLM solution patterns, including experience with tools such as Snowflake Cortex, Copilot Studio, or similar technologies.
GitHub & CI/CD Development Practices - Experience using GitHub for source control and collaborating within CI/CD development workflows to support reliable and repeatable software delivery.
Independent Problem Solving in a Fast-Paced EnvironmentSelf-directed and capable of managing multiple priorities while delivering high-quality results in a dynamic, business-focused environment.
Familiarity with Dataiku, Streamlit, Azure DevOps, Agile delivery methodologies, and cloud-based analytics platforms is a plus.

Responsibilities

Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.