Data Scientist Principal
Position Overview
The Data Scientist Principal will lead the expansion of data science and analytics across pricing, forecasting, and commercial decision-making at International’s Central Sales Administration (CSA).
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.
Leverage modern data platforms such as Palantir Foundry, Databricks, and cloud-based AI/ML ecosystems to develop enterprise-scale analytics solutions.
Oversee development of predictive models and ensure they are robust and actionable.
Set standards for modeling approaches and evaluation.
Translate analytical outputs 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.
Serve as a trusted advisor to senior leadership by converting analytical findings into strategic revenue and profitability recommendations.
Requirements
Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
At least 6 years of analytics, statistical analysis, engineering, IT, data quality or finance experience.
At least 3 years of leadership experience.
Master's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
At least 5 years of analytics, statistical analysis, engineering, IT, data quality or finance experience.
At least 3 years of leadership experience.
PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
At least 4 years of analytics, statistical analysis, engineering, IT, data quality or finance experience.
At least 3 years of leadership experience.
Additional Requirements
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.
Desired Skills
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.
Benefits And Compensation
This position offers competitive market-based compensation, along with a comprehensive benefits package designed to support employee wellbeing. Visit here to learn more about the benefits offered for this position.