Description
Job Summary:
As a Senior Data Scientist at Mercado Livre, you will design and scale innovative and secure systems that solve real-world, high-impact problems in a dynamic environment powered by cutting-edge technology.
Key Highlights:
1. You will work with cutting-edge technology and proprietary AI models
2. You will democratize e-commerce and financial services in Latin America
3. You will serve as a technical reference and support team development
As a **Senior Data Scientist** at Mercado Livre, you will design and scale innovative and secure systems that solve real-world, high-impact problems. You will work in a dynamic, cutting-edge technology environment, applying engineering best practices, proprietary AI models, and continuous learning — all aimed at democratizing e-commerce and financial services across Latin America.
Imagine yourself leading challenging, dynamic, and innovative projects, and being **responsible for:**
* Implementing coding best practices for model development and deployment, including object-oriented programming.
* Presenting and explaining your results, effectively tailoring your message to different levels across the company (Analysts, Leaders, or Managers/Experts).
* Translating business/operational problems into technical terms and proposing ad-hoc solutions primarily based on statistics/machine learning for time series, while being capable of designing scalable solutions, estimating development effort for tasks, defining priorities, and proactively making decisions during development.
* Monitoring, maintaining, and evolving forecasting models used by shipping teams, identifying opportunities for improvement.
* Collaborating across the entire team’s development cycle, serving as a technical reference and supporting team sizing and technical unblocking.
* Summarizing ideas, learnings, and best practices to share knowledge with peers or other areas of MELI.
### **What are we looking for in you?**
* Proficiency in Python, SQL, and GIT.
* Knowledge of object-oriented programming.
* Strong expertise in statistics and data science, particularly in: time series and forecasting models, feature engineering, applied machine learning, and understanding the end-to-end ML model development lifecycle — from conception to production deployment.
**Are you excited to leave your mark on Latin American technology?**
Apply now and join our purpose!
Work modality: Hybrid.