Data Scientist (PriceElasticity/ML) (Remote - Latam)

This remote Data Scientist position focuses on optimizing pricing, promotions, and demand forecasting in the retail and consumer packaged goods (CPG) industry. The role involves designing and implementing AI/ML models, analyzing data, and collaborating with cross-functional teams to translate insights into business solutions. The position offers full autonomy and the opportunity to make a tangible impact in the CPG sector.

Requirements

• Bachelor’s degree or higher in related field
• 5+ years of experience in retail or CPG with pricing elasticity modeling
• Strong proficiency in Python, Pandas, NumPy, and SQL
• Experience quantifying elasticity coefficients and applying them in business contexts
• Solid knowledge of regression models, time-series forecasting, and causal inference methods
• Ability to work with large, complex datasets and iterate prototypes collaboratively
• Strong communication skills
• Familiarity with scalable cloud environments and distributed data systems

Benefits

• 100% remote work across Latin America
• Contractor agreement with payment in USD
• Access to English classes and learning platforms
• Referral program and professional development opportunities