Senior Data Scientist

Role Overview

Join Cat Digital’s Analytics & Applied AI team and help drive sales and services growth through advanced analytics, machine learning, and AI solutions. This role partners with business leaders, business segments, and analytics teams to turn complex data into actionable insights and scalable digital solutions.

What You Will Do

Lead and contribute to multiple analytics and applied AI initiatives, using statistical and machine learning methods to solve business challenges and support sales and services growth.

Why It Might Be a Fit

The Senior Data Scientist serves as a technical leader, guiding analytical approaches, mentoring team members, and delivering data-driven outcomes that create value for customers, dealers, and business.

Requirements

• Machine Learning: Extensive knowledge of machine learning principles, technologies, and algorithms, including experience applying classification, regression, optimization, descriptive statistics, and inferential statistics.
• Programming Languages: Knowledge of Python, SQL (NumPy, SciPy, Pandas, etc.) or R and the ability to develop and modify code to solve business problems.
• Analytical Thinking: Extensive ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems; knowledge of techniques and tools that promote effective analysis.
• Business Statistics: Knowledge of the 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: Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
• Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
• Requirements Analysis: 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.

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

Tagged as: Data Analysis, Python, SQL