SR Data Scientist, Rental GA4

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.

Your Work Shapes the World

Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe.

Cat® Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital and analytics solutions for our customers and dealers. Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters.

Job Summary:

We are seeking a Senior Data Scientist – Rental to transform digital behavioral data into actionable insights that strengthen site performance, optimize digital investments, and drive Rental revenue and customer growth. Although titled Data Scientist, this role is centered heavily on advanced site analytics and digital performance.

In this role, you will use hands-on Google Analytics data to define, track, and analyze core site metrics; evaluate conversion funnels and digital customer journeys; and identify opportunities to improve engagement, lead generation, and business outcomes.

The ideal candidate brings hands-on proficiency in GA4, BigQuery, Python, and SQL, along with experience in GA4 data governance, site performance insights, conversion analysis, lead value estimation, attribution modeling, and causal inference. You will collaborate across business, product, and technical teams to translate complex clickstream data into clear recommendations and scalable measurement solutions.

What will you do? (Essential Responsibilities)

Drive a data-driven product development culture to optimize digital investments, increasing Rental revenue, and expanding the customer base through enhanced dealer operations and improved product utilization.

• •Strategic Collaboration and Execution: Collaborate with senior leadership, product owners, and RU Strategy team to develop and execute the R&U BI/Analytics roadmap, aligning it with organizational goals and priorities.
• •Data Analysis and Requirements Gathering: Conduct in-depth analysis of complex business data, providing valuable insights to support strategic initiatives and operational efficiency. Gather and document business requirements for BI & Analytics, defining KPIs and metrics.
• •Accuracy and Attention to Detail : Extensive Experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision.
• •Analytical Thinking: Extensive 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.
• •Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• •Programming Languages: Extensive knowledge of basic concepts and capabilities of applying Python programming to solve business challenges; ability to use tools, techniques and platforms in order to write and modify programming languages.
• •Query and Database Access Tools: Extensive knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.

If you're a strategic thinker with a passion for turning data into actionable insights and possess strong leadership skills, we invite you to lead our Rental Insights and Analytics team towards greater success.

What you will have:

• Business Statistics: 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.
• Accuracy and Attention to Detail: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
• 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.
• Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
• Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
• Requirements Analysis: 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.

BASIC QUALIFICATIONS:

• •Desire BS or higher degree in a quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, finance, or other related degree and 6+ years of professional experience utilizing quantitative analysis/ data management (data design, data quality, metadata, governance, etc.) is required, a Master’s degree and 1-3 years of relevant experience. OR equivalent working experience
• •Proficiency in BI tools, Python and SQL, GA4, BigQuery.
• •Experience with AWS services, Cloud ELT/ETL, Snowflake.
• •Knowledge of Machine Learning, and data visualization packages like Power BI and Tableau.
• •Knowledge of AWS services, Cloud ELT/ETL, Data Lake solutions (Snowflake/AWS) and applied knowledge of stackable solutions and automation techniques is a plus.
• •Must demonstrate strong initiative, interpersonal skills, Strong consultative skills, and the ability to communicate and tell compelling stories with data.

CONSIDERATIONS FOR TOP CANDIDATES:

• •Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Computer Science + X, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), Informatics, Information Systems Management, Mathematics, MBA with Technical Undergrad, Predictive Analytics, Statistics, or equivalent technical degree.
• •Extensive experience applying Python (NumPy, SciPy, pandas, etc) programming to solve business challenges.
• •Extensive experience (typically 3 years+) with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
• •Extensive experience in practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
• •In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field

ADDITIONAL INFORMATION:

• •This position will be based in Chicago
• •Sponsorship IS NOT available
• •Relocation is NOT available
• •#LI
• •#BI (used to post on Built In Chicago)

What You Will Get:

Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that real