Darwoft

Senior Data Scientist, Price Elasticity/ML

Darwoft

contract

Posted on:

Origin:  • 🇦🇷 Argentina

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Job Level

Senior

Tech Stack

CloudFlaskNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

  • Model and measure price elasticity of demand across products, categories, and customer segments
  • Develop and test AI/ML models incorporating 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 integrating elasticity insights into real-world retail/CPG contexts
  • Present findings through clear storytelling and data visualization to influence 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 with cross-functional teams
  • Ability to communicate complex analytical insights to technical and non-technical audiences
  • Familiarity with scalable cloud environments and distributed data systems
  • English Level: B2 / C1
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