Remote Python Data Scientist — Scikit-Learn ML Pro

BairesDev

United States

Remote

CLP 117,763,000 - 176,644,000

Full time

34 hours ago
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Benefits offered by this job

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

Job summary

BairesDev is seeking a Python Data Scientist (Scikit-learn) to design, develop, and deploy advanced machine learning models that transform raw data into actionable insights. You will work remotely with a global team to drive data-informed decisions across projects.

The role emphasizes model development, data preprocessing, feature engineering, and collaboration with cross-functional teams to productionize models and monitor performance. English proficiency is required.

Qualifications

  • 5+ years of experience in Data Science or Machine Learning.
  • Advanced proficiency in Python and machine learning libraries like Scikit-learn.
  • Proven expertise in data preprocessing, feature engineering, and building predictive models.
  • Strong English proficiency.

Responsibilities

  • Design, build, and deploy robust ML models for predictive analytics.
  • Perform data cleaning, preprocessing, and exploratory data analysis.
  • Engineer features to improve model accuracy and performance.
  • Collaborate with engineering and product teams to productionize models.
  • Evaluate metrics and tune hyperparameters for scalability and reliability.

Skills

Python
Scikit-learn
Data preprocessing
Feature engineering
Model evaluation
English

Tools

Git

Job description

BairesDev is seeking a Python Data Scientist (Scikit-learn) to design, develop, and deploy advanced machine learning models that transform raw data into actionable insights. You will work remotely with a global team to drive data-informed decisions across projects.

The role emphasizes model development, data preprocessing, feature engineering, and collaboration with cross-functional teams to productionize models and monitor performance. English proficiency is required.

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