Tech Stack
CloudNumpyPandasPythonSQL
About the role
- Model and measure price elasticity of demand across products, categories, and customer segments.
- Develop and test AI/ML models that incorporate elasticity coefficients into demand forecasting and pricing scenarios.
- Analyze structured and unstructured retail data to uncover trends and quantify customer sensitivity to price changes.
- Apply statistical, econometric, and causal inference techniques to simulate what-if pricing and promotion strategies.
- Build and iterate on prototypes and POCs that integrate elasticity insights into real-world retail/CPG contexts.
- Present findings through clear storytelling and data visualization, influencing both technical and business stakeholders.
- Collaborate with engineering and product teams to bring data-driven solutions into production.
Requirements
- Bachelors degree or higher in Econometrics, Operations Research, Applied Mathematics, Statistics, Data Science, or related field.
- 5+ years of experience in retail or CPG, with proven expertise in price elasticity modeling and demand forecasting.
- Strong command of Python (pandas, NumPy, OOP) and SQL.
- Demonstrated experience quantifying elasticity coefficients and applying them in business contexts.
- Solid background in regression models, time-series forecasting, and causal inference.
- Experience working with large, complex datasets and iterating prototypes in collaboration with cross-functional teams.
- Ability to communicate complex analytical insights in a way that resonates with both technical and non-technical audiences.
- Familiarity with scalable cloud environments and distributed data systems.
- Contractor agreement with payment in USD
- 100% remote work
- Argentinas public holidays
- English classes
- Referral program
- Access to learning platforms
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
price elasticity modelingdemand forecastingAI/ML modelsstatistical techniqueseconometric techniquescausal inferenceregression modelstime-series forecastingPythonSQL
Soft skills
data storytellingcommunicationcollaborationinfluencing stakeholdersanalytical insights