Data Scientist, eCommerce Analytics
Analytics
Artificial Intelligence
Business Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Pipeline
Data Platform
Data Processing
Data Products
Data Science
Data Visualization
Data Warehouse
Database
Databases
Marketing Analytics
Product Analytics
Reporting and Analytics
Sales Analytics
SQL
Job Description
Caterpillar is hiring a Data Scientist for its eCommerce Analytics team in Chicago, onsite, to apply analytics and machine learning for personalization and recommendations that drive parts and services growth.
Responsibilities
- Leverage machine learning, statistics, causal inference, and cutting edge GenAI approaches to model customer behavior and implement personalization and recommendation features that yield measurable business impact
- Build and deploy analytics powered solutions to optimize digital experiences, including recommendation engines and AI enabled assistants supporting conversational insights, targeting, and sales enablement use cases
- Collaborate with product, engineering, and business teams to translate problems into scalable, data driven and AI enabled solutions
- Own end to end components of analytics and data science initiatives, from exploratory analysis and modeling to shipping production ready insights or features
- Proactively research and apply new techniques, including GenAI approaches, to improve customer impact
- Present findings clearly to both technical and non technical audiences, influencing decisions through data driven storytelling
Requirements
- Analytical thinking with a proven ability to diagnose root causes and craft actionable alternative solutions; familiarity with analysis techniques and tools
- Experience in exploratory data analysis to extract patterns from complex datasets, including data cleaning, data mining, and writing or debugging queries across multiple tables or databases
- Strong understanding of machine learning principles, algorithms, and tooling; ability to develop, implement, and maintain ML driven systems for classification, regression, or optimization tasks
- Proficiency in data querying languages (SQL), scripting languages (Python), and statistical software (R)
- History of collaborating with cross functional teams and communicating insights effectively to influence business decisions
Technologies
- SQL
- Python
- R
- AWS
- Azure
- Snowflake
- Google Cloud
Benefits
- Medical, dental, and vision benefits
- Paid time off plan including vacation, holidays, and volunteer time
- 401(k) savings plan
- Health Savings Account and Flexible Spending Accounts
- Wellness and health lifestyle programs
- Employee assistance program
- Voluntary benefits and employee discounts
- Career development opportunities
- Incentive bonus
- Disability benefits
- Life insurance
- Parental leave and adoption benefits
- Tuition reimbursement
Additional Details
- Location: Chicago, IL (onsite)
- Relocation assistance not available
- Visa sponsorship not available
Summary Pay Range
$97,530.00 - $158,480.00 per year
Posting Details
- Offer of employment is conditioned upon the successful completion of a drug screen