Data Scientist: Recommender Systems & Analytics

Factored; Ciudad de México; Presencial; MXN 1,097,000 - 1,464,000; Jornada completa

Descripción de la vacante

A leading data science firm is seeking an exceptionally talented Data Scientist to extract insights from complex data sets in Mexico City. The role involves designing recommender systems and conducting exploratory data analysis for strategic decision-making. Ideal candidates will possess strong programming skills in SQL and Python, along with a deep understanding of machine learning algorithms. The company values transparency, collaboration, and personal growth, creating a vibrant workplace that emphasizes learning and a positive impact on the tech talent landscape in Latin America.

Servicios

Transparent workplace

Opportunities for personal growth

Collaborative environment

Formación

• Strong proficiency in SQL and Python, with experience in relevant libraries.
• Deep understanding of machine learning and data mining techniques.
• Ability to convey complex concepts and collaborate effectively in team settings.

Responsabilidades

• Design models with user-centric outputs.
• Conduct exploratory data analysis to extract insights.
• Utilize predictive modeling to improve decision-making.
• Monitor model performance and refine for accuracy.
• Stay updated on advancements in data science.

Conocimientos

Programming in SQL

Python proficiency

Machine learning algorithms

Statistical models

Data mining techniques

Problem solving

Exceptional communication in English

Herramientas

TensorFlow

PyTorch

scikit-learn

Descripción del empleo

A leading data science firm is seeking an exceptionally talented Data Scientist to extract insights from complex data sets in Mexico City. The role involves designing recommender systems and conducting exploratory data analysis for strategic decision-making. Ideal candidates will possess strong programming skills in SQL and Python, along with a deep understanding of machine learning algorithms. The company values transparency, collaboration, and personal growth, creating a vibrant workplace that emphasizes learning and a positive impact on the tech talent landscape in Latin America.