Data Scientist

• Design, develop, and optimize advanced Pricing and Revenue Growth Management (RGM) models to support strategic business decisions
• Build and validate price-demand elasticity models, including own-price and cross-price elasticities
• Develop predictive models using Machine Learning, statistical methods, and econometric techniques to analyze demand, pricing, and consumer behavior
• Perform time series analysis, demand forecasting, and mathematical optimization to identify business opportunities
• Conduct feature engineering using pricing, sales volume, seasonality, product, channel, and market data
• Design and execute experiments, backtesting, sensitivity analyses, and statistical validations to ensure model reliability
• Evaluate model robustness, temporal stability, potential biases, and underlying statistical assumptions
• Develop pricing scenarios and simulations to assess the impact of commercial strategies
• Collaborate with business stakeholders, Data Engineers, and Machine Learning Engineers to translate business challenges into data-driven solutions
• Communicate complex analytical findings and actionable recommendations to technical and non-technical stakeholders

Explore Senior Data Scientist – Databricks, Pricing & Revenue Growth… at MUTT DATA. Review requirements and application details.

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