Data Scientist

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.

As a Data Scientist, you will play a key role in building the next evolution of analytics  will work with internal customers to understand complex, nuanced problems and partner with product service engineers, dealers, and other product group engineers to design data products to answer their questions. This role sits in the Medium Wheel Loader Product Support organization and will work cross-functionally to support decision makers across all of the global product support teams.

• Lead large-scale data collection, mining, processing, and modeling. Apply natural language processing, text analytics, and machine learning to expand semantic data capabilities.
• Define analysis requirements and scope, then present actionable insights to leaders through clear data visualizations.
• Research and optimize data models and algorithms to improve analytical accuracy and effectiveness.
• Collaborate with engineers to translate data insights into actionable requirements that support equipment operation and the development of systems integrated with machine hardware.

Business Data Analysis: Skilled in using SQL, Dashboards (Tableau, Power BI), Python, Microsoft Excel, PowerPoint, Snowflake or cloud data services. Experience with data analytics techniques, automation, data science, AI to drive business KPI results.

Accuracy and Attention to Detail: Demonstrates working knowledge of review methods and quality controls to process detailed information accurately, verify outputs, assess errors or omissions, and prevent recurrence.

Effective Communications: Excellent oral and written communication skills. Demonstrated ability to effectively communicate and collaborate with internal and external business partners including senior leaders. Excellent human relations skills to develop a collaborative environment with leadership and key stakeholders.

Analytical Thinking: Applies working knowledge of structured analysis to define business problems, identify key factors and stakeholders, evaluate patterns and trends, and recommend effective solutions using sound judgment.

Requirements Analysis: Applies working knowledge of established methods to partner with customers and users, define and confirm requirements, and produce clear business and system documentation using appropriate tools and standards.

• Experience working with mechanical systems or large construction equipment.
• Proven ability to translate complex datasets and analytical findings into clear, actionable instructions and documentation.
• Experience transforming large, complex datasets into actionable business insights.
  Strength in statistical analysis, data mining, processing, and modeling.
• Experience applying machine learning, natural language processing, or text analytics to business challenges.
• Ability to define analytical requirements and communicate clear recommendations through compelling data visualizations.
• Proficiency with programming languages, query tools, databases, and data warehouses.
• A track record of improving data models and algorithms to increase analytical accuracy and business value.
• Strong attention to detail, analytical judgment,…