Sr. Data Scientist, Rental - Google Analytics

Caterpillar Inc.•Chicago, IL

1d•$112,710 - $183,140•Onsite

About The Position

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. 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. We’ve created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. With over 1.5M connected assets worldwide, our business and in the industries, we serve, data is generated continuously by Cat® equipment using the latest technology, advanced analytics, telematics and AI capabilities to help our customers build a better world. 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 (GA4) 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 Google Analytics (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.

Requirements

Business Statistics: Extensive knowledge of 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: Extensive understanding 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 programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Requirements Analysis: Extensive 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.
Typically, a Bachelor’s 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.).
Proficiency in BI tools, Python and SQL, Google Analytics - GA4, BigQuery.
Proficiency in Python and analytics libraries, including NumPy, SciPy, and pandas.
Proven experience with advanced statistical analysis, including regression, hypothesis testing, and ANOVA (typically, 3+ years).
Hands-on experience with machine learning techniques such as clustering, logistic regression, random forests, SVMs, and neural networks.
Experience with data visualization tools such as Power BI or Tableau.
Strong problem-solving, consultative, interpersonal, and data storytelling skills.
Self-motivated with a commitment to continuous learning in analytics.

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.
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.
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.
Extensive Experience with the necessity and value of accuracy; ability to complete tasks with high levels of precision.
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.
Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services.
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.
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.