Lead Data Scientist; Service Events & Insights

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.

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.

Technology, Digital and Data

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, 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.

• Location:
  
  Peoria, IL (United States)
• Required Travel:
  Up to 10% (Domestic & International)
• Relocation Assistance Offered:
  None
• US Work Sponsorship Offered:
  None

As the Lead Data Scientist – Service Events & Insights, you will develop high quality, actionable insights within the Service Events Domain by:

• Leading the design and execution of advanced analytics and data science initiatives, translating large-scale Service Events data into actionable business insights
• Directing data acquisition, transformation, and modeling efforts across complex, high-volume datasets to enable scalable and reliable analytics solutions
• Defining problem statements, analytical approaches, and success criteria in collaboration with business stakeholders to ensure alignment with strategic objectives
• Developing, deploying, and optimizing machine learning models and statistical analyses to improve service outcomes, forecasting, and decision-making accuracy
• Applying advanced techniques such as natural language processing, text analytics, and predictive modeling to extract value from structured and unstructured service data
• Leading investigation into data model optimization, algorithm performance, and analytical methodologies to continuously improve solution effectiveness
• Communicating insights and recommendations through data visualization and storytelling, enabling informed decision-making at multiple levels of the organization
• Serving as a technical thought leader, guiding best practices in data science, analytics, and experimentation across cross-functional teams

• 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 to write and modify programming languages.
• Busines…