Senior Data Scientist

Career Area:

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 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.

Do you have a passion for helping customers and supporting a sustainable solution? Since 1973, Cat Reman has helped bring the value at the core of every Cat product back to life. Customers look to us to provide a high-quality solution that is good for their business - and promotes sustainability. It's important to us to deliver. Our team is full of industry leaders.

Together, following common values, we share a passion for delivering sustainability benefits that help the company contribute to a circular economy. It’s rewarding to work, with an inspiring team, where every contribution matters.

Primary location for this position will be Mossville, IL. Additional locations to be considered:
Franklin, IN, Corinth, MS, Fargo, ND, & Irving, TX.

• Bachelor’s degree in Engineering, Computer Science, or other Technical field; or proven work experience

• Lead the design, development, and deployment of advanced analytics, machine learning, and AI-enabled solutions that solve complex business problems across the Reman Division.
• Apply statistical modeling, machine learning techniques, optimization methods, forecasting, simulation, and experimentation to identify opportunities, improve decisions, and deliver measurable business value.
• Develop, validate, and operationalize descriptive analytics and predictive models using Python and modern data science practices while ensuring solutions are explainable, maintainable, and aligned to business objectives.
• Build analytics products and decision-support tools that combine machine learning outputs, curated data assets, and intuitive Power BI reporting to improve adoption and business actionability.
• Partner with business stakeholders to frame analytical problems, define success measures, translate business requirements into data science solutions, and communicate insights to technical and non-technical audiences.
• Research, prototype, and implement emerging AI development approaches, including generative AI, intelligent agents, natural language interfaces, and automation opportunities that improve business processes and analytical productivity.
• Use python, Kedro, dbt, Docker, AWS, Snowflake, Azure Dev Ops, and related tools to create repeatable, governed, and production-ready analytical workflows that support model development, deployment, and monitoring.
• Collaborate with data engineering and platform partners to ensure required data pipelines, semantic models, data quality frameworks, and governed data products are available to support scalable analytical solutions.
• Establish and promote data science best practices including source control, code review, automated testing, experiment tracking, model documentation, reproducible pipelines, and deployment standards.
• Lead Agile planning, analytical design reviews, model review discussions, and project execution efforts while mentoring team members on data science, machine learning, AI development, and analytics engineering practices.
• Champion sustainable analytical product development by reducing technical debt, improving reusability, and promoting standardized approaches across the Reman Analytics organization.
• Define and execute standards for model documentation, metadata management, knowledge sharing, monitoring, and operational supportability to improve long-term maintainability of analytical solutions.

• Hands-on experience developing data science and machine learning solutions using Python, including model development, validation,…