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SR Data Scientist, Rental GA4

Caterpillar · Chicago, IL · $112,710–$183,140 a year · Full time

Posted Oct 4, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a time your analysis led a business team to change what they were doing.

What they are checking: Whether their work has influenced real decisions, which matters at the senior level.

How do you explain statistical uncertainty to rental business leaders who want a single number?

What they are checking: Whether they can communicate ranges and confidence simply without losing the business audience.

Tell me about a time you mentored a less experienced analyst or data scientist.

What they are checking: Whether they help others grow, which is expected of a senior data scientist.

What would you do

GA4 numbers do not match the bookings in the rental system. How do you find out why?

What they are checking: Whether they can reconcile web analytics with business data and explain tracking gaps.

Cookie consent and privacy rules cut the data you can collect. How do you adapt your analysis?

What they are checking: Whether they understand consent mode and modeled data and can still give trustworthy answers.

About the work

How would you set up GA4 tracking so the rental team can see where customers drop off on the way to booking equipment?

What they are checking: Whether they can design events and funnels in GA4 that answer real business questions.

How would you export GA4 data to BigQuery and turn it into something a data scientist can model?

What they are checking: Whether they know the raw event schema and can shape it into sessions, users and features.

How would you build a model to predict which website visitors are likely to rent equipment?

What they are checking: Whether they can frame the problem, pick features and choose a sensible evaluation metric.

How do you measure the impact of a marketing campaign when customers often book by phone through a dealer?

What they are checking: Whether they handle attribution across online and offline channels honestly rather than over-crediting digital.

How would you design an A/B test on a rental site with low weekly traffic?

What they are checking: Whether they understand sample size and power limits and know alternatives when traffic is thin.

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The full job description

As published by Caterpillar.

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 really matters. Join Us. About Caterpillar Caterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $112,710.00 - $183,140.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. • Medical, dental, and vision benefits* • Paid time off plan (Vacation, Holidays, Volunteer, etc.)* • 401(k) savings plans* • Health Savings Account (HSA)* • Flexible Spending Accounts (FSAs)* • Health Lifestyle Programs* • Employee Assistance Program* • Voluntary Benefits and Employee Discounts* • Career Development* • Incentive bonus* • Disability benefits • Life Insurance • Parental leave • Adoption benefits • Tuition Reimbursement * These benefits also apply to part-time employees Visa Sponsorship is not available for this position. Posting Dates: October 4, 2026 - October 11, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community .

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