Sr. Data Scientist, Rental - Google Analytics

Caterpillar•Chicago, IL
•$112,710 - $183,140•Onsite

About The Position

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

  • 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
  • 6+ years of professional experience utilizing quantitative analysis/ data management
  • Proficiency in BI tools, Python and SQL , Google Analytics - GA4, BigQuery
  • Proficiency in Python and analytics libraries, including NumPy, SciPy, and pandas
  • 3+ years of experience with advanced statistical analysis, including regression, hypothesis testing, and ANOVA
  • 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.

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
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