Financial Data Scientist: ML, Pricing & Segmentation Onsite

gsbsolutions1; Ciudad de México; Presencial; MXN 57.000 - 63.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Excellent superior benefits

Descripción de la vacante

Important company in CDMX seeks a Data Scientist to drive analytics within the financial sector, focusing on pricing, liquidity, segmentation, customer behavior, and business optimization. You will translate business needs into data-driven, explainable models and scalable analytical assets.

The role requires collaboration with business, data, and technology teams to implement solutions, strong statistics and ML experience, and fluency in English and Spanish.

Formación

• 3+ years of experience in Data Science, Analytics, or Predictive Modeling.
• 3+ years of experience in banking or the financial services sector.
• Advanced conversational English and Spanish essential (Will be evaluated).

Responsabilidades

• Design and develop statistical and machine learning models for business use cases.
• Collaborate with business, data and technology teams to implement analytical solutions.
• Perform exploratory data analysis, feature engineering, and model evaluation.
• Define analytical methodologies and technical documentation.

Conocimientos

SQL

Python

R

Statistics

Machine Learning

Data Visualization

Data Architecture

Herramientas

Data Lakes

Data Marts

Cloud Environments

Descripción del empleo

Important company in CDMX seeks a Data Scientist to drive analytics within the financial sector, focusing on pricing, liquidity, segmentation, customer behavior, and business optimization. You will translate business needs into data-driven, explainable models and scalable analytical assets.

The role requires collaboration with business, data, and technology teams to implement solutions, strong statistics and ML experience, and fluency in English and Spanish.