Senior Data Scientist

Career Area:

Technology, Digital and Data

Job Description:

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.

Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world.

Job Summary Join Cat Digital's Analytics & Applied AI team and help drive sales and services growth through advanced analytics, machine learning, and AI solutions. This role partners with business leaders, business segments, and analytics teams to turn complex data into actionable insights and scalable digital solutions. The Senior Data Scientist serves as a technical leader, guiding analytical approaches, mentoring team members, and delivering data-driven outcomes that create value for customers, dealers, and business.

What You Will Do:

Lead and contribute to multiple analytics and applied AI initiatives, using statistical and machine learning methods to solve business challenges and support sales and services growth.

Partner with cross-functional stakeholders to translate business needs into insights, recommendations, models, and digital solutions.

Coach and mentor data scientists in the development, validation, deployment, and responsible application of analytical solutions.

Research and apply emerging analytical and AI techniques to improve business outcomes and expand team capabilities.

Communicate complex analytical findings clearly to technical and non-technical audiences.

What you will have:

Machine Learning:
Extensive knowledge of machine learning principles, technologies, and algorithms, including experience applying classification, regression, optimization, descriptive statistics, and inferential statistics.

Programming

Languages:

Knowledge of Python, SQL (Num Py, Sci Py, Pandas, etc.) or R and the ability to develop and modify code to solve business problems.

Analytical Thinking:
Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; knowledge of techniques and tools that promote effective analysis. Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.

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.

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…