Aftermarket Data Scientist I

Caterpillar•Chicago, IL

About The Position

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. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. Job Summary: Join the Analytics Engineering team of Cat Digital and perform analytical tasks and initiatives on One Funnel and OneSite programs with a focus on Control Tower development and support data-driven business decisions.

Requirements

Analytical Thinking: Working 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.
Programming Languages: Basic knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Query and Database Access Tools: Working knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Requirements Analysis: Working 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

Typically, a Bachelors, Masters, or PhD degree in Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
Working experience applying SQL and Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
Working experience with version control / repositories such as GitHub
Experience operating in an Agile environment
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
Excellent organizational skills, with the ability to manage multiple requests and priorities simultaneously.
Experience with Azure DevOps, AWS Cloud, Managed Warehouse for Apache Airflow (MWAA), Github, Snowflake/Snowpark pipelines, SQL, Python, AI/ML, Microsoft Office, Power App Tools, Power BI, and automation capabilities.

Responsibilities

Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.