Remote Python Data Scientist (Scikit-learn) | ML Innovator

BairesDev

Veracruz

Teletrabalho

MXN 1 662 000 - 2 216 000

Tempo integral

Há 7 dias
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Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

100% remote work
USD or local currency pay
Hardware and software setup for home
Flexible hours
Paid parental leaves and holidays
Multicultural global team
Mentorship and growth opportunities

Resumo da oferta

BairesDev is hiring a Python Data Scientist to design, develop, and deploy advanced ML models. You will transform raw data into insights that drive decisions and innovation across projects.

The role emphasizes production-ready models, collaboration with engineering and product teams, and a strong focus on data preprocessing and feature engineering. 100% remote work with competitive USD compensation and a flexible, global work environment.

Qualificações

  • 5+ years of experience in Data Science or ML.
  • Advanced proficiency in Python and ML libraries like Scikit-learn.
  • Experience with data preprocessing and feature engineering.
  • Excellent command of English.

Responsabilidades

  • Design, develop, and deploy ML models for business problems.
  • Transform raw data into actionable insights for decision making.
  • Collaborate with cross-functional teams to productionize models.
  • Evaluate models and tune hyperparameters for scalability.

Conhecimentos

Data Science
Machine Learning
Python
Scikit-learn
Data preprocessing
Feature engineering
English proficiency

Ferramentas

Python Libraries

Descrição da oferta de emprego

BairesDev is hiring a Python Data Scientist to design, develop, and deploy advanced ML models. You will transform raw data into insights that drive decisions and innovation across projects.

The role emphasizes production-ready models, collaboration with engineering and product teams, and a strong focus on data preprocessing and feature engineering. 100% remote work with competitive USD compensation and a flexible, global work environment.

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