Data Science (Price Elasticity)

Role overview Build pricing and demand models for a retail and consumer goods project. The work spans data exploration, predictive modeling, and production-ready machine learning, helping stakeholders understand how prices affect demand, how products influence one another, and where cannibalization may reduce margin.

Responsibilities - Analyze structured and unstructured data to identify trends and actionable business insights. - Design, build, and evaluate predictive models and machine learning algorithms. - Develop pricing models that account for price elasticity, cross-effects, and cannibalization. - Assess pricing and promotional effectiveness and translate findings into clear recommendations. - Work with engineering and product partners to take solutions from exploration toward production.

Requirements - Senior-level data science experience building predictive models and machine learning solutions. - Experience applying data science to pricing, demand, or related commercial questions. - Ability to work with structured and unstructured data and communicate results to stakeholders. - English proficiency at B2/C1 level.

Benefits and work setup - Full-time contractor position, remote within Latin America. - Work hours aligned with EST or CST; the role requires dedicated full-time focus, and other professional activities must be disclosed and must not conflict with working hours.