Data Science & AI Solutions Consultant

About the Role

Performs analytical tasks and initiatives on large volumes of data to support data-driven business decisions and development at Cat Financial, a subsidiary of Caterpillar Inc. Cat Financial provides financing solutions for machines, engines, Solar® gas turbines, genuine Cat parts, and services globally, with headquarters in Nashville, Tennessee.

Responsibilities

• Direct data gathering, mining, and processing for large datasets; create appropriate data models.
• Explore, promote, and implement semantic data capabilities using Natural Language Processing, text analysis, and machine learning techniques.
• Define requirements and scope for data analyses; present business insights to management using data visualization technologies.
• Conduct research on data model optimization and algorithms to improve effectiveness and accuracy in data analyses.

Requirements

• Business Statistics: Knowledge of statistical tools and processes to describe business results and assist in decision-making.
• Accuracy and Attention to Detail: Ability to complete tasks with high precision.
• Analytical Thinking: Knowledge of techniques to determine root causes of problems and create alternative solutions.
• Machine Learning: Knowledge of principles, technologies, and algorithms; ability to develop and implement related systems.
• Programming Languages: Knowledge of basic programming concepts; ability to write and modify code (e.g., Python).
• Query and Database Access Tools: Knowledge of data management systems; ability to search, extract, and format data.
• Requirements Analysis: Ability to elicit, analyze, and record business and technical requirements for system development.

Qualifications

• Proven ability to design, develop, and deliver production-ready machine learning and data science solutions that solve business problems.
• Strong Python development skills, including package management, testing, automation, and reusable code.
• Experience deploying and supporting machine learning models (e.g., Snowflake ML, AWS SageMaker).
• Strong SQL skills and experience with cloud data platforms like Snowflake (data preparation, transformation, analytics).
• Commitment to code quality through peer reviews, testing, documentation, and best practices.
• Working knowledge of Generative AI and LLM solution patterns (e.g., Snowflake Cortex, Copilot Studio).
• Experience with GitHub for source control and CI/CD workflows.
• Independent problem-solving in a fast-paced environment; ability to manage multiple priorities.
• Familiarity with Dataiku, Streamlit, Azure DevOps, Agile methodologies, and cloud-based analytics platforms is a plus.

Schedule

Full-time, 5 days per week in the Nashville main office.

Pay

Pay range: $97,728.00 – $151,572.00. Compensation varies based on job level, market location, knowledge, skills, performance, and experience.

Benefits

• Medical, dental, and vision benefits (subject to plan eligibility).
• Paid time off (vacation, holidays, volunteer time).
• 401(k) savings plans.
• Health Savings Account (HSA) and Flexible Spending Accounts (FSAs).
• Health lifestyle programs and Employee Assistance Program.
• Voluntary benefits and employee discounts.
• Career development opportunities and incentive bonus.
• Disability benefits, life insurance, and parental leave.
• Adoption benefits and tuition reimbursement.

Benefits listed also apply to part-time employees.