Data Scientist-Sql / Python

Konfío; Xico; Presencial; MXN 728,000 - 1,094,000; Jornada completa

Descripción de la vacante

A leading fintech company in Mexico is seeking a Data Scientist in Risk Management. The role involves developing and maintaining machine learning models to enhance underwriting processes. You will work closely with senior data scientists and focus on improving customer management strategies. Applicants must have at least 2 years of experience in data science, proficiency in SQL, Python, and a solid understanding of statistical methods. Advanced English is a requirement. This position is based in Veracruz, Mexico.

Formación

• At least 2 years of proven experience in Data Science.
• Knowledge and experience with Machine Learning models.
• Advanced English proficiency required.

Responsabilidades

• Develop and implement machine learning models and algorithms.
• Conduct experiments to enhance existing models.
• Work with the Lead or Manager Data Scientist.

Conocimientos

Machine Learning

Python Programming

SQL

Statistical Analysis

Data Management

Educación

Degree in Actuary, Mathematics, Physics, Statistics, Computer Science or related field

Herramientas

AWS SageMaker

Pandas

Descripción del empleo

Join the Fintech revolution and build the future of finance in Mexico!

We are the leading financial technology company in Mexico, empowering more than 70,000 clients to achieve their dreams. Our mission is to empower the country's small and medium-sized enterprises with innovative solutions (financing, credit card and payments) to overcome their challenges and turn them into the engines of economic growth. We aspire to be the ideal ally of entrepreneurs, contributing to the development of the community, the country and the planet.

Your Mission, Should You Choose to Accept It :

The primary goal of the Data Scientist in Risk Management is to develop, implement, and maintain machine learning models and algorithms to enhance underwriting processes and customer management strategies. This role involves working closely with the Lead or Manager Data Scientist, as the middle position is not completely independent and requires assistance and guidance.

Model Development and Implementation :

• Design, develop, and implement machine learning models and algorithms for underwriting and customer management.
• Conduct experiments to enhance existing models, ensuring their accuracy and reliability through rigorous testing, validation, and benchmarking.
• Actuary, Mathematics, Physics, Statistics, Computer Science, or related field).

Proven experience in Data Science (at least 2 years).

Knowledge and experience with Machine Learning models. Knowledge of SQL. Experience in production programming in Python and Pandas library. AWS SageMaker.

Statistics fundamentals: most common distributions, generalized linear models, hierarchical models (desirable), A / B testing, bootstrap, experiment design, simulation.

Advanced english (must).