muttdata - #1 - Senior Data Scientist - Databricks - Pricing & Revenue Growth Management - Latam

• 4+ years of experience as a Data Scientist, ideally working on Pricing, Revenue Growth Management (RGM), demand modeling, forecasting, or optimization. • 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 equivalent approaches. • Solid understanding of own-price and cross-price elasticity. • Experience with regression models, regularization techniques, and statistical inference. • Strong background in time series analysis and forecasting. • Experience with mathematical optimization, scenario modeling, and sensitivity analysis. • Proficiency in feature engineering using pricing, volume, seasonality, and commercial variables. • Experience designing experiments, performing backtesting, and conducting statistical validation. • Hands-on experience with Databricks, Spark/PySpark, and MLflow. • Experience developing and validating statistical and Machine Learning models that support business decision-making. • Experience working with sales datasets involving pricing, volume, products, channels, geographies, and time dimensions. • Ability to build models across multiple levels of granularity and assess their statistical robustness and stability over time. • Strong analytical and problem-solving skills, with the ability to translate business challenges into mathematical and predictive models. • Excellent communication and data storytelling skills, with experience presenting insights to technical and business stakeholders. • Experience collaborating with cross-functional teams, including business stakeholders, Data Engineers, and Machine Learning Engineers. • Experience working with Large Language Models (LLMs). • Knowledge of AI agents and agentic systems. • Familiarity with MLOps practices and tools. • Experience deploying and maintaining Data Science and AI solutions in production environments. • Knowledge of job orchestration, computing infrastructure, deployments, monitoring, and maintenance. • Experience working with event data, user tracking, and application tagging. • Ability to collaborate effectively with Product, Engineering, and Business teams.