**YOUR NEXT STEP IS AT RAPPI!** Rappi is one of the first Latin American unicorns and a start-up that continues to focus on growing and making life easier for our users. As a company, we seek to continue improving the services we already offer, add more to our offer and continue expanding throughout the Latin American continent. **Role Objective**: - Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance, define problem statements, collect data, build analytical models and make recommendations. **Main Responsibilities**: - Analyze large data sets to develop multiple custom models and algorithms to drive innovative business solutions. - Design and analyze experiments to test new product ideas or go to market strategies. Convert the results into actionable recommendations. - Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support - Use Statistical/Machine Learning techniques to understand and make predictions about complex systems. - Draw on methods and tooling from probability, statistics, mathematics, and computer science, as well as communicate results through visualizations, and data products **Key Requirements**: - Knowledge of machine learning algorithms, statistics, optimization, operations research and experiment design - Proficient in SQL (other querying language is a plus) - Analytical skills, with the ability to turn complex, disparate datasets into insights that drive strategies and solutions - Basic computer literacy - Hands-on experience in Python or R - Comfortable with ambiguity and organizational complexity **Desired Requirements**: - Spark - AirFlow - Docker - Microservices - SnowFlake - SageMaker He leído y acepto la Autorización de Datos Personales de Rappi S.A.S Conforme a la Política de Tratamiento de Datos PersonalesI have read and accept the Authorization of Personal Data from Rappi S.A.S In accordance with the Personal Data Treatment Policy