Senior Data Scientist

Caterpillar Inc.•Irving, TX

3d•$112,710 - $183,140•Onsite

About The Position

As a Senior Data Scientist within Corporate Aftermarket Finance Services, you will provide advanced analytics expertise and technical leadership to support Parts Sales to End Users (STU) reporting, forecasting, and key business initiatives. This role is responsible for owning end-to-end data architecture and analytics solutions, from data sourcing and modeling through insights delivery and visualization. You will partner closely with cross-functional teams and senior stakeholders to ensure data accuracy, scalable reporting solutions, and actionable insights that drive business decisions. Success in this position directly contributes to customer satisfaction, data quality, process efficiency, and continuous improvement across the organization.

Requirements

Extensive knowledge of statistical methods, modeling techniques, and analytical tools used to solve complex business problems
Knowledge of principles, technologies and algorithms of machine learning and deep learning, with demonstrated ability to develop, implement and deliver related solutions
Experience with forecasting, predictive analytics, and advanced data analysis
Strong analytical thinking and problem-solving capabilities, with the ability to identify root causes and develop effective solutions
Advanced proficiency in: SQL (including Snowflake SQL)
Advanced proficiency in: Python
Hands-on experience with: Snowflake (data warehousing and architecture)
Hands-on experience with: Power BI (dashboard development and insights delivery)
Hands-on experience with: Cloud platforms such as AWS (S3, Glue, Lambda, EC2, or equivalent)
Hands-on experience with: Alteryx (used in current-state processes and data transformation workflows)
Ability to design, build, and manage end-to-end data pipelines and reporting solutions
Proven ability to work effectively with senior stakeholders and cross-functional teams
Strong communication skills, with the ability to translate complex data insights into clear, actionable business recommendations
High attention to detail with a focus on data accuracy, quality, and efficiency
Demonstrated ability to manage and prioritize multiple, broadly scoped initiatives independently
Experience owning analytical processes and driving continuous improvement initiatives

Nice To Haves

5+ years of experience delivering end-to-end analytics solutions, from data pipeline development through insights delivery
Experience with AWS Cloud platform and AWS Glue
Proficiency in R in addition to Python and SQL
Experience in data governance, analytics transformation, or system migration initiatives
Familiarity with Agile methodologies and tools such as Azure DevOps
Ability to clearly communicate complex technical concepts to diverse audiences

Responsibilities

Own end-to-end data architecture and analytics solutions, including the design and implementation of schemas and data models within Snowflake
Develop and maintain scalable data pipelines to integrate and consolidate data from multiple sources into a trusted reporting environment
Design, develop, and maintain Power BI dashboards, delivering clear and actionable insights to business stakeholders
Support and enhance forecasting models leveraging advanced analytics and machine learning techniques, including trend analysis and outlier identification
Serve as the primary point of contact for STU reporting, providing insights and resolving data-related questions
Lead data validation processes, ensuring accuracy, quality, and reliability of reporting outputs
Collaborate with cross-functional teams to define business objectives and translate them into analytical solutions
Drive process automation and modernization efforts, including transitioning legacy systems to scalable platforms
Maintain alignment with enterprise standards for data governance, quality, and reporting consistency
Communicate complex technical concepts and insights effectively to senior leadership and non-technical stakeholders