Data Scientist (Hybrid Quito)(Exp in Banking)

Role Overview

We are a technology company specializing in end-to-end digital assets, and we are looking for a Data Scientist with 3 to 5 years of experience to design, develop, and optimize analytical models that enable better decision-making and tangible operational impacts for the business.

What You Will Do

Design analytical models, develop model code, analyze large volumes of data, identify relationships between variables, optimize models, and lead the monitoring and maintenance of implemented models.

Why It Might Be a Fit

This role requires 3 to 5 years of experience in data science or advanced analytics, with a strong background in predictive or prescriptive analytical modeling, and experience with handling large volumes of data and complex data structures.

Requirements

• 3 to 5 years of experience in data science or advanced analytics
• At least 2 years of experience in predictive or prescriptive analytical modeling
• Handling large volumes of data and complex data structures
• Knowledge in applied mathematics, artificial intelligence, machine learning, reinforcement learning, statistics, and econometrics
• Experience in the development of integrated solutions: extraction, modeling, deployment, and reporting
• Handling Python, Spark/PySpark, SQL, NoSQL, AWS, Azure, Big Data, and LLM APIs
• Medium knowledge in CI/CD and data quality
• Desirable participation or recognition in analytics competitions