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Data Scientist (PriceElasticity/ML) (Remote - Latam) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist (PriceElasticity/ML) in Latin America.. Join a high-impact project in the retail and consumer packaged goods industry, leveraging AI and machine learning to optimize pricing, promotions, and demand forecasting. In this senior-level role, you will design, validate, and implement models that quantify consumer response to price changes, helping businesses maximize revenue and improve planning decisions. You will collaborate with cross-functional teams to translate complex data into actionable insights and integrate AI-driven prototypes into production. This is a fully remote role offering autonomy, technical ownership, and the opportunity to make a tangible impact on real-world retail and CPG operations across Latin America.. . Accountabilities. . Model and measure price elasticity of demand across products, categories, and customer segments.. . Develop and test AI/ML models that integrate elasticity coefficients into pricing, promotions, and demand forecasting scenarios.. . Analyze structured and unstructured retail data to uncover trends and quantify consumer sensitivity to price changes.. . Apply statistical, econometric, and causal inference techniques to simulate what-if pricing strategies.. . Build, iterate, and deploy prototypes and POCs that translate elasticity insights into actionable business tools.. . Present findings clearly through data visualization and storytelling to influence both technical and business stakeholders.. . Collaborate with engineering and product teams to integrate data-driven solutions into production environments.. . . . Bachelor’s degree or higher in Econometrics, Operations Research, Applied Mathematics, Statistics, Data Science, or related field.. . 5+ years of experience in retail or CPG with expertise in price elasticity modeling and demand forecasting.. . Strong proficiency in Python (pandas, NumPy, OOP) 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 for conveying complex analytical insights to technical and non-technical audiences.. . Familiarity with scalable cloud environments and distributed data systems.. . Nice to have: experience with scikit-learn, TensorFlow, PyTorch, Spark, Databricks, UI prototyping (Flask, Plotly, Streamlit), and ML Ops/CI-CD workflows.. . Company Location: Colombia.