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

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.

Requirements

• 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.

Benefits

• 100% remote work across Latin America.
• Contractor agreement with payment in USD.
• Observance of Argentina’s public holidays.
• Access to English classes and learning platforms.
• Referral program and professional development opportunities.
• Work on impactful AI-driven solutions in retail and CPG sectors.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!