Data Scientist

Role Overview

Manage and analyze complex data for retail finance operations, leveraging data-driven insights to optimize performance and enhance decision-making.

What You Will Do

Design predictive models, manage and analyze large-scale datasets, perform exploratory data analysis, and develop interactive dashboards and reporting tools.

Why It Might Be a Fit

Ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning techniques, particularly within the retail finance domain.

Requirements

• Bachelor’s degree in data science, Computer Science, Statistics, or a related field
• A minimum of 3 years of experience in data science or advance analytics
• Strong proficiency in Python, R, and SQL
• Hands-on experience with machine learning frameworks and algorithms
• Expertise in statistical modeling, forecasting, and financial analytic techniques
• Proficient with data visualization tools
• Familiarity with cloud platforms and modern data pipeline tools
• Excellent problem solving and critical thinking skills
• Strong verbal and written communication skills

Benefits

• Competitive salary based on experience
• Medical, Dental, Vision and Pet insurance
• 401(k) match
• Life and Disability benefits
• Generous PTO policy
• Up to 12 paid company holidays
• Employee discounts on Kawasaki products
• Onsite fitness center
• Kawasaki Kafe