¡Oye, es hora de que te unas a nosotros para mostrarle al mundo que somos la empresa que está cambiando paradigmas, donde revolucionamos las horas, los minutos y los segundos! ¿Quieres saber por qué Rappi? - ️ VEMOS OPORTUNIDADES donde otros ven problemas; - ️ VEMOS CERCANIA donde otros ven distancia; - ️ VEMOS ADRENALINA donde otros ven presión. Únete a un equipo donde todos somos capaces de TODO, donde todos tenemos las mismas oportunidades, sin importar género, raza, orientación sexual, religión, nacionalidad, edad, discapacidad, formación o experiência. ¿Te ha gustado lo que has leído hasta ahora? Descubre cómo entregarás magia junto con nosotros a través de tu misión Rappi Revisa cómo impactarás nuestro ecosistema: As a Data Scientist on the Catalog Team at Rappi, you will play a crucial role in optimizing the delivery platform by leveraging data-driven strategies. You will be responsible for analyzing large-scale datasets to gain valuable insights, enhancing our catalog's quality and efficiency, and ultimately improving the overall customer experience. This role requires a combination of technical expertise, analytical skills, and business acumen to address complex challenges in a dynamic and fast-paced environment. Como parte de Rappi, serás responsable de: - Analyze large, complex datasets to identify patterns, trends, and opportunities related to the catalog team's objectives.- Utilize statistical methods and machine learning algorithms to model user behavior, product preferences, and demand patterns.- Present findings and insights to stakeholders, including product managers and business leaders, to influence decision-making processes.- Collaborate with cross-functional teams to enhance the quality and accuracy of product listings in the catalog.- Develop algorithms to optimize search relevance, product recommendations, and sorting mechanisms for better customer engagement.- Implement A/B testing frameworks to evaluate the effectiveness of catalog improvements and measure their impact on key performance metrics.- Build predictive models to forecast demand and supply patterns, allowing the company to proactively manage inventory and ensure efficient operations.- Create prescriptive analytics solutions to optimize the catalog structure, product availability, and pricing strategies.- Work closely with data engineers to ensure seamless data integration, data quality, and efficient data processing pipelines.- Collaborate on designing and maintaining data analytics tools and dashboards for team-wide access to insights. Bien y ahora, ¿Cuáles son los requisitos para que yo sea parte de este universo de neón?- Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related quantitative field.- 3-5 years of relevant experience in data analysis, machine learning, or predictive modeling.- Proficiency in programming languages such as Python or R for data analysis and machine learning tasks.- Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.- Strong understanding of statistical concepts and machine learning techniques.- Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.- Excellent communication and collaboration skills to work effectively with cross-functional teams. Tipo Empleador: Regular Empleador: Rappi Technology Colombia Para más información consulta nuestra pagina web y revisa nuestras reseñas en Glassdoor ¡Te esperamos con mucha ansiedad y brillo en los ojos para entregar magia juntos! _#Rappi_