Data Scientist Retail Analytics

Location: MexicoDuration: Long Term
Data ScientistResponsibilities:Build and deploy ML models for forecasting, price elasticity, segmentation, and attribution.Analyze POS, retail, and Amazon Vendor Central data to drive business insights.Develop scalable analytics using Python, SQL, Snowflake, and Power BI.Collaborate with Sales, Category, and Market Insights teams to support commercial decision-making.Requirements:4+ years of Data Science/Advanced Analytics experience.Strong skills in Python, SQL, Snowflake, Machine Learning, Forecasting, Statistical Modeling, and Power BI.Experience with PySpark, cloud platforms, and ML model deployment.Retail, Consumer Goods, or E-commerce experience preferred.Skills: Python | SQL | Snowflake | Power BI | Machine Learning | Predictive Modeling | Forecasting | Price Elasticity | Segmentation | Attribution | PySpark | Retail Analytics | POS Data | Amazon Vendor Central