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About the Role
Performs analytical tasks and initiatives on huge amounts of data to support data-driven business decision and development.
Responsibilities
- Directs data gathering, data mining, and data processing for large volumes of data, creating appropriate data models.
- Explores, promotes, and implements semantic data capabilities using Natural Language Processing, text analysis, and machine learning techniques.
- Defines requirements and scope for data analyses, presenting and reporting potential business insights to management using data visualization technologies.
- Conducts research on data model optimization and algorithms to enhance the effectiveness and accuracy of data analyses.
Requirements
- Proven ability to design, develop, and deliver production-ready machine learning and data science solutions that solve business problems and create measurable value.
- Experience developing solutions in Python, including package management, testing, automation, and creating reusable code.
- Experience developing, deploying, and supporting machine learning models, with familiarity in platforms such as Snowflake ML, AWS SageMaker, or similar environments.
- Strong SQL skills and working knowledge of Snowflake or similar cloud data platforms, including data preparation, transformation, and analytical solution development.
- Demonstrated commitment to code quality through peer reviews, testing, documentation, and adherence to development best practices.
- Working knowledge of Generative AI and LLM solution patterns, including experience with tools such as Snowflake Cortex, Copilot Studio, or similar technologies.
- Experience using GitHub for source control and collaborating within CI/CD development workflows.
- Self-directed and capable of managing multiple priorities while delivering high-quality results in a dynamic, business-focused environment.
- Familiarity with Dataiku, Streamlit, Azure DevOps, Agile delivery methodologies, and cloud-based analytics platforms is a plus.
Skills
- Business Statistics
- Accuracy and Attention to Detail
- Analytical Thinking
- Machine Learning
- Programming Languages
- Query and Database Access Tools
- Requirements Analysis
- Python
- SQL
- Snowflake
- Generative AI
- LLM
- GitHub
- CI/CD
Location
- Nashville, Tennessee
Work Type
- Full-time
- Onsite
Experience Level
- Applied Data Science & Machine Learning Expertise
- Strong Python Development Skills
- Machine Learning Deployment & MLOps Fundamentals
- Data Engineering & Analytics Foundations
- Code Quality, Testing & Documentation
- Generative AI & LLM Awareness
- GitHub & CI/CD Development Practices
- Independent Problem Solving
Salary/Compensations
- $97,728.00 - $151,572.00
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
About the Company
- Cat Financial is a subsidiary of Caterpillar Inc., 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 over 40 years, Cat Financial has provided a wide range of financing solutions to customers and Cat® dealers for machines, engines, Solar® gas turbines, genuine Cat parts and services.
- Headquartered in Nashville, Tennessee, Cat Financial serves customers globally with offices and subsidiaries located throughout North and South America, Asia, Australia, Europe and Africa.
Equal Opportunity
- Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.