Data Scientist Principal

Position Overview

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. It is both a hands‑on and strategic position, balancing technical depth with leadership and direction‑setting.

• 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

• Bachelor’s degree in a quantitative field (Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering, or similar) with at least 6 years of analytics, statistical analysis, engineering, IT, data quality or finance experience and 3 years of leadership experience.
• OR Master’s degree in a quantitative field with at least 5 years of analytics, statistical analysis, engineering, IT, data quality or finance experience and 3 years of leadership experience.
• OR PhD in a quantitative field with at least 4 years of analytics, statistical analysis, engineering, IT, data quality or finance experience and 3 years of leadership 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.

• 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 such as Palantir…