Senior Data Scientist

About the job

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. JOB DUTIES: Caterpillar applies advanced analytics to solve complex business problems across supply chain, procurement, quality, cost optimization, and product development. These efforts support initiatives such as inventory and NPI cost optimization, supply reliability, supplier health assessment, quality prediction, healthcare cost analysis, and simulation for new facilities or products. As a Senior Data Scientist, you will lead analytic teams, provide technical direction, and partner with cross functional stakeholders to deliver high impact solutions for Caterpillar business units, dealers, and customers. The Senior Data Scientist will: Lead and contribute to 3 - 4 concurrent analytics projects with significant business impact Apply advanced statistical and machine learning techniques to solve business problems Coach and mentor other Data Scientists in model development, validation, and deployment Provide technical leadership while balancing innovation with customer commitments Communicate complex analytical results clearly to non-technical audiences Proactively research and apply emerging analytics methods and technologies Develop a deep understanding of Caterpillar’s products, systems, processes, customers, and market environment MUST HAVE: • Bachelor's degree in statistics, economics, mathematics, engineering, or a related quantitative discipline with 7-10 years of quantitative analysis experience; alternatively, a Master's degree with 4-6 years of relevant experience, or a PhD with 1-3 years of relevant experience. • Advanced proficiency in Python and SQL. • Comprehensive knowledge of various machine learning algorithms. • Strong command of MS Office and data visualization tools such as Power BI. • Proven leadership abilities, self-motivation, effective interpersonal skills, and exceptional communication capabilities. Desirable Qualifications: • Practical experience with Deep Learning models, Large Language Models (LLM), and Agentic AI • Proficiency with Snowflake data platform • Experience with GitHub, DBT, Copilot, and cloud-native tools Skill Descriptors 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. Level Working Knowledge: • Approaches a situation or problem by defining the problem or issue and determining its significance. • Makes a systematic comparison of two or more alternative solutions. • Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. • Identifies the major forces, events and people impacting and impacted by the situation at hand. • Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Working Knowledge: • Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization. • Utilizes specific tools and techniques to process descriptive and inferential statistics. • Applies specific computing languages and tools in machine learning, such as R and Python. • Explores to use machine learning in one own areas to make business improvements. • Conducts data mining and cleaning initiatives. This role is expected to be hybrid for the near future with limited days in the office every month and flexible hours. Relocation is available for this position. Posting Dates: March 12, 2026 - March 19, 2026 Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply.

Requirements

• Python
• SQL
• machine learning
• data visualization
• leadership
• analytical skills

Preferred Technologies

• Python
• SQL
• machine learning
• data visualization
• leadership
• analytical skills

About the company

Caterpillar is a global team who cares not just about the work we do – but also about each other. The company focuses on creating stronger, more sustainable communities by applying advanced analytics to solve complex business problems across various sectors.