Data Scientist I
Rappi Technology Colombia
Bogotá, Bogotá Tiempo completo
Descripción del Empleo
Hey, it's time for you to join us showing the world we are the company that is changing paradigms, where we revolutionize the hours, minutes and seconds! Do you want to know why Rappi? ⭐️ WE SEE OPPORTUNITIES where others see problems ⭐️ WE SEE CLOSE where others see distance ⭐️ WE SEE ADRENALINE where others see pressure. Join a team where we are all capable of EVERYTHING, where we all have the same opportunities, regardless of gender identity, race, religion, nationality, age, disability, training or experience. Did you like what you have read so far? Find out how you will deliver magic together with us through your Rappi mission 🧡 Revisa cómo impactarás nuestro ecosistema: Analyze large amounts of raw data to find patterns that help improve our business decisions. We will rely on building data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential to interpreting data. We also want to see a passion for machine learning and research. The goal will be to help us analyze trends to make better decisions. Business Acumen: Using your business acumen and key insights, you proactively explore new areas of opportunities to drive Rappi's value and growth goals forward and coordinate with the key stakeholders to prioritize and lead the changes to production. You proactively monitor existing metrics, develop, and propose new metrics, and work across the organization to make actionable intelligence available to business stakeholders. Strategic Analytics and Insights: With a deep understanding of business drivers and an innate grasp of the key business metrics, you pro-actively interact with the stakeholders within the business teams and drive customer-centric changes through data-driven deep-dives, insights at scale, and analytical exercises (preliminary data analysis, deep-dives using segmentations/models, financial analysis and recommendations). Customer Centricity: Focusing on the incrementality and the value-creation in everything you do, you drive strategic insights on customer behavior (customer acquisition, marketing investment analysis and optimization, engagement RFM, retention, product-mix, sales, etc.), customer needs (pricing, product, convenience, experience, etc.), and existing/new propositions (loyalty programs, sales campaigns, discounted offers, etc.) across various membership types and marketing channels for Rappi customers. Execution: Ability to communicate insights and identify new areas of opportunity that will drive Rappi's value and growth goals forward; coordinate with the stakeholders to prioritize and lead the changes to production. Establish strong working relationships at all organizational levels across different functional teams. Como parte de Rappi, serás responsable de: Understand business objectives to provide actionable insights. Collaborate with cross-functional teams to tackle real-world challenges. Collect, clean, and analyze data from diverse sources. Explore large datasets and perform statistical analysis. Create data visualizations to drive understanding. Develop and manage Airflow data pipelines to ensure scalable and reliable feature ingestion. Design data services and APIs. Deploy and maintain machine learning MS services in production environments. Engage with clients and stakeholders in meaningful discussions. Utilizing machine learning and statistical tools to select features, develop and optimize models, and extract business insights Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Bien y ahora, ¿Cuáles son los requisitos para que yo sea parte de este universo de neón? Bachelor’s degree in a quantitative field. Experience with SQL for data manipulation and analysis. Proficiency in data visualization and model interpretation tools. Knowledge of statistical analysis, hypothesis testing, and experimental design. Strong problem-solving skills for untangling complex datasets. Effective communication and collaboration skills. Proficiency in programming languages like Python. Deep understanding of machine learning libraries such as scikit-learn, mlflow, pydantic and pandas Familiarity with cloud platforms preferably AWS services such as S3, EC2 and AWS-Batch. Experience with Apache Airflow for data pipelines. Understanding of containerization and model deployment (Git Hub) Solid practices in developing and deploying machine learning models with tools like Git, Jenkins, Docker. Tipo Empleador: Regular Empleador: Rappi Technology Colombia Para más información consulta nuestra pagina web https://about.rappi.com/es y revisa nuestras reseñas en Glassdoor https://acortar.link/Eqm07Q ¡Te esperamos con mucha ansiedad y brillo en los ojos para entregar magia juntos! #Rappi 🧡 Rappi is a Latin -American company and te first SuperApp in the region. It was founded in 2015 by Simón Borrero, Sebastian Mejia and Felipe Villamarin and today is present in 9 countries and more than 200 cities. We are a young Latin American team of technology entrepreneurs with a mission to drive progress in our region through our platform for digital commerce. We know the future of Latin America can be made far brighter with technology that connects people to solutions. For us, Rappi is not just a company...it's a movement for economic progress.
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Sobre empleos de Data Science y Analytics
La ciencia de datos y el análisis son campos en rápido crecimiento que combinan estadística, programación y conocimiento de negocios. Las empresas latinoamericanas e internacionales buscan profesionales capaces de transformar datos en decisiones estratégicas. Las tecnologías más demandadas incluyen Python, SQL, herramientas de visualización como Tableau y Power BI, y plataformas cloud como AWS y Google Cloud. La capacidad de contar historias con datos y comunicar insights de forma clara es tan importante como las habilidades técnicas.
Preguntas frecuentes
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Etiquetas:
Tiempo completo Bogotá Bogotá Rappi Technology Colombia