Data Scientist Principal

International Motors, LLC•Lisle, IL

About The Position

International’s Central Sales Administration (CSA) is seeking a Data Scientist Principal to lead the next phase of data science and analytics across pricing, forecasting, and commercial decision-making. This role builds on an established foundation of models and tools and focuses on scaling impact across the organization. The individual will define priorities, guide solution development, and work closely with senior stakeholders to expand the use of data in financial and commercial decisions. This role serves as the analytical leader for CSA’s end-to-end revenue management strategy, driving the integration of pricing, demand forecasting, customer intelligence, competitive insights, and commercial performance analytics into a unified decision-making framework. This is both a hands-on and strategic role - balancing technical depth with leadership and direction-setting.

Requirements

Bachelor's degree and at least 6 years of sales administration/operations, transactional price administration, or sales financial analysis experience
At least 3 years of lead experience
OR
Master's degree and at least 5 years of sales administration/operations, transactional price administration, or sales financial analysis experience
At least 3 years of lead experience
OR
At least 10 years of sales administration/operations, transactional price administration, or sales financial analysis experience
At least 3 years of lead experience
Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States.
We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)

Nice To Haves

Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field (Master’s preferred)
6-8+ years of experience in data science, analytics, or related roles
Proven track record of delivering impactful, production-level data science solutions
Advanced proficiency in Python, SQL, and machine learning frameworks
Experience leading complex or cross-functional initiatives
Experience leveraging AI, machine learning, and advanced analytics to support business decision-making and operational execution
Experience with forecasting and time series modeling
Strong background in machine learning and statistical modeling
Experience working with enterprise data platforms (e.g., Palantir Foundry, Databricks, or similar modern analytics environments)
Proficiency in Palantir Foundry and/or Databricks, including development of scalable analytical workflows, data products, and decision-support applications
Experience applying Generative AI, predictive AI, and decision intelligence frameworks to business processes
Ability to influence senior stakeholders and drive adoption
Strong communication and leadership skills
Ability to connect technical solutions to measurable business outcomes
Experience supporting pricing, revenue management, commercial analytics, or related business functions preferred

Responsibilities

Define and prioritize data science initiatives aligned with business goals
Identify high-impact opportunities to improve pricing, forecasting, and margin performance
Establish the long-term roadmap for Integrated Pricing Intelligence and revenue management analytics capabilities
Guide design of scalable data pipelines, models, and analytical frameworks
Ensure solutions are maintainable, reliable, and aligned with best practices
Lead development of enterprise-scale analytics solutions leveraging modern data platforms such as Palantir Foundry, Databricks, and cloud-based AI/ML ecosystems
Oversee development of predictive models and ensure they are robust and actionable
Set standards for modeling approaches and evaluation
Ensure analytical outputs are translated into decision-support tools that directly influence pricing, forecasting, and commercial strategy
Partner with Finance, Sales, and leadership to drive adoption of data-driven decision-making
Translate analytical outputs into clear business recommendations
Serve as a trusted advisor to senior leadership by converting analytical findings into strategic revenue and profitability recommendations
Mentor data scientists and analysts
Help establish best practices for development, deployment, and communication
Promote adoption of AI, advanced analytics, and modern data engineering practices across the organization