Data Scientist Fellow I

International Motors, LLC • Lisle, IL

2d • $160,000 - $240,000

About The Position

At International Motors, the Data Scientist Fellow I will help develop a next-generation Parts Pricing Engine supporting a portfolio of more than 400,000 SKUs. The role will shape analytical methodologies and pricing strategies used to price products, respond to market dynamics, and drive business performance. The fellow will collaborate with teams across Pricing, Product, Finance, and Digital, and partner with a consulting team through a Build-Operate-Transfer model to develop pricing capabilities.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering, or a similar quantitative field, and at least 9 years of analytics, data quality, or statistical analysis experience; or a master’s degree in one of these fields and at least 5 years of such experience; or a PhD in one of these fields and at least 3 years of such experience.
• At least 2 years of lead experience.
• Legally authorized on an unrestricted basis to work in the United States; the employer does not anticipate providing employment-related work sponsorship for this position.
• Strong proficiency in SQL and Python, with the ability to transform raw data into actionable analysis and production-ready logic.
• Experience working with large, complex, sparse, or imperfect product datasets.
• Strong commercial acumen, including the ability to evaluate margins, competitive positioning, and dealer economics to support strategic pricing decisions.

Nice To Haves

• Experience in Data Science, with prior pricing experience preferred.
• Demonstrated expertise in price elasticity, segmentation, price optimization, experimentation, or causal inference.

Responsibilities

• Build and own pricing methodology across a portfolio of 400,000+ SKUs, covering price elasticity, product and customer segmentation, price architecture, lifecycle rules, category strategy, and margin guardrails.
• Co-develop pricing strategies and analytical methodologies, establishing recommendation frameworks that can be executed through the pricing engine.
• Translate analytical insights into tested pricing logic by defining requirements for the Digital team and validating that production behavior aligns with the intended methodology.
• Address complex pricing challenges, including long-tail products with limited transaction data, different product lifecycle stages, highly competitive markets, and diverse brand value propositions.
• Maintain and improve pricing measurement methodologies as data quality improves, new data sources become available, and business strategies evolve; use commercial outcomes to inform enhancements.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree