Senior Data Scientist - Databricks - Pricing & Revenue Growth Management

📋 Description

• Design, develop, and optimize advanced Pricing and Revenue Growth Management (RGM) models to
• 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
• Perform time series analysis, demand forecasting, and mathematical optimization to identify
• Conduct feature engineering using pricing, sales volume, seasonality, product, channel, and market
• Design and execute experiments, backtesting, sensitivity analyses, and statistical validations to

🎯 Requirements

• 4+ years of experience as a Data Scientist, ideally working on Pricing, Revenue Growth Management
• Advanced proficiency in Python and SQL.
• Strong knowledge of applied statistics, econometrics, and supervised Machine Learning.
• Hands-on experience with price elasticity modeling, demand modeling, price-response curves, or
• Solid understanding of own-price and cross-price elasticity.
• Experience with regression models, regularization techniques, and statistical inference.

🎁 Benefits

• 🌍 Remote-first culture – work from anywhere!
• 🚀 In-Company English Lessons.
• 💪 Wellhub or sports club stipend to stay active
• 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• 🍕 Food credits via Pedidos Ya – because great work deserves great food.
• 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)