Sr. Data Scientist, Rental - Google Analytics

Posted Yesterday
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Chicago, IL, USA
Hybrid
113K-183K Annually
Senior level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial • Industrial Equipment
Cat Digital delivers digital and technology solutions that power Caterpillar's world-famous yellow iron.
The Role
Lead advanced digital and rental analytics using GA4, BigQuery, Python, and SQL. Analyze clickstream data, customer journeys, conversion funnels, attribution, and site performance to improve revenue and customer growth. Define KPIs, develop analytics roadmaps, apply statistical and machine learning methods, establish data governance, and translate insights into recommendations. Collaborate with senior leaders, product owners, strategy teams, and technical stakeholders while supporting scalable measurement solutions and data-driven product development.
Summary Generated by Built In
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.
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.
What You Will Do:
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.
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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: 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.

Considerations for Top Candidates:
  • 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.

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.
Additional Details:
  • This position will be based out of our Chicago, IL office
  • Relocation Assistance is NOT available for this role
  • Visa Sponsorship is NOT available now or in the future

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.
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#BI (used to post on Built In Chicago)
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 13, 2026 - October 25, 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.

Skills Required

  • Bachelor's degree or higher in Data Science, Data Analytics, Computer Science, Engineering, Statistics, Mathematics, Finance, or a related quantitative discipline
  • At least 6 years of professional experience using quantitative analysis and data management
  • Hands-on proficiency with Google Analytics GA4
  • Proficiency with BigQuery
  • Proficiency with Python and SQL
  • Experience with Python analytics libraries, including NumPy, SciPy, and pandas
  • At least 3 years of advanced statistical analysis experience, including regression, hypothesis testing, and ANOVA
  • Experience applying machine learning techniques, including clustering, logistic regression, random forests, SVMs, and neural networks
  • Experience with data visualization tools such as Power BI or Tableau
  • Experience with data governance, data quality, metadata, and data management
  • Experience with conversion analysis, lead value estimation, attribution modeling, causal inference, and digital performance insights
  • Strong problem-solving, consultative, interpersonal, and data storytelling skills
  • Knowledge of requirements analysis and ability to define business functionality and non-functional requirements
  • High accuracy and attention to detail

What the Team is Saying

Pradeep
Christina
Chad
Madison
Rakshan
MacGregor
Stan

Caterpillar Compensation & Benefits Highlights

  • Retirement Support — Retirement plans are highlighted as a standout element, with a strong company match and an additional company contribution noted for certain groups. Feedback suggests this is a notable strength of the package, with specifics dependent on plan and eligibility.
  • Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, HSAs/FSAs, wellness resources, and mental-health support through the EAP. Feedback suggests these offerings are competitive and broadly well regarded.
  • Parental & Family Support — Paid parental leave and adoption assistance are explicitly included, with adoption reimbursement and supportive leave policies emphasized. Feedback suggests family support is generous and a meaningful part of total rewards.

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The Company
HQ: Irving, TX
100,000 Employees
Year Founded: 1925

What We Do

Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing digital capabilities to our world-famous yellow iron. With over 1.5M connected assets worldwide, our teams use data, technology, advanced analytics and AI capabilities to help solve our customers' toughest challenges.

Why Work With Us

At Cat Digital, we're accelerating Caterpillar's digital transformation to help customers solve their toughest challenges. Our teams use enterprise-wide data, emerging technologies, and customer insights to deliver solutions that drive real-world impact. Join us as we create innovative experiences that help customers succeed and power the world aro

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