Senior Data Scientist

Caterpillar Inc.•Peoria, IL

1d•$112,710 - $183,140•Onsite

About The Position

Join Cat Digital's Analytics & Applied AI team and help drive sales and services growth through advanced analytics, machine learning, and AI solutions. This role partners with business leaders, business segments, and analytics teams to turn complex data into actionable insights and scalable digital solutions. The Senior Data Scientist serves as a technical leader, guiding analytical approaches, mentoring team members, and delivering data-driven outcomes that create value for customers, dealers, and business.

Requirements

Extensive knowledge of machine learning principles, technologies, and algorithms, including experience applying classification, regression, optimization, descriptive statistics, and inferential statistics.
Knowledge of Python, SQL (NumPy, SciPy, Pandas, etc.) or R and the ability to develop and modify code to solve business problems.
Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; knowledge of techniques and tools that promote effective analysis. Working knowledge in conducting exploratory data analysis to extract meaningful patterns, trends, and insights from complex datasets, including data mining and cleaning initiatives and writing, debugging and implementing queries involving multiple tables or databases.
Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project.

Nice To Haves

A bachelor’s degree in Statistics, Economics, Mathematics, Data Science, or a related quantitative field.
Analytics experience, or an equivalent combination of graduate education and relevant experience.
Experience working closely with cross-functional teams, providing data-driven insights and collaborating on projects to solve business challenges.
Experience in applied AI techniques, advanced statistical methods, forecasting, machine learning, or in production environments, with strong initiative to research and apply new methods and digital technologies to exceed customer expectations.
Strong Python, SQL, and data visualization experience
Cloud platform experience with AWS, Azure, or GCP is preferred.
Experience leading analytics projects, mentoring others, and connecting data across business domains to generate insights that support profitable growth, with strong communication, interpersonal, and collaboration skills.

Responsibilities

Lead and contribute to multiple analytics and applied AI initiatives, using statistical and machine learning methods to solve business challenges and support sales and services growth.
Partner with cross-functional stakeholders to translate business needs into insights, recommendations, models, and digital solutions.
Coach and mentor data scientists in the development, validation, deployment, and responsible application of analytical solutions.
Research and apply emerging analytical and AI techniques to improve business outcomes and expand team capabilities.
Communicate complex analytical findings clearly to technical and non-technical audiences.