Senior Data Scientist (Monterrey)

Client: Our client is a leading player in the consumer packaged goods (CPG) sector, specializing in the commercialization of pork and poultry products. They are seeking to enhance their data capabilities through advanced predictive modeling.

Project overview

The project involves developing three predictive models aimed at optimizing pricing strategies and purchase predictions for various market segments within specific geographic areas. The models include:

• Price trend prediction for commodities at a provincial level.
• Suggested pricing models by micro-zone, incorporating socio-demographic variables.
• Purchase prediction models focusing on identifying strategic SKUs based on historical behavior.

Technology stack: Python and Pyspark; potential use of Databricks.

Responsibilities

• Lead end-to-end data science projects, from problem framing and data exploration to model development and deployment.
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