Data Scientist
Madre Integrated Engineering · Salta, Salta, Argentina
Human Resources Services · 501-1,000 employees
19 h ago
Mid (2-5 yrs)
Full-time
Argentina
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About the role
Develop and deploy machine learning models across various sectors while performing exploratory data analysis and feature engineering. Collaborate with engineering teams to productionize models and communicate data-driven insights to stakeholders.
What they look for
Machine learning
Python
R
SQL
Scikit-learn
XGBoost
TensorFlow
PyTorch
Tableau
Power BI
Matplotlib
Statistical analysis
A/B testing
Feature engineering
Data pipelines
Cloud platforms
Requirements
Requires a Bachelor's degree in a relevant field and at least 3 years of hands-on experience in data science or machine learning. Proficiency in Python, R, and SQL is essential, with a preference for advanced degrees and a project portfolio.
Full description
Responsibilities:
- Develop and deploy machine learning models (classification, regression, clustering) for client projects across finance, healthcare, and tech sectors
- Perform exploratory data analysis, feature engineering, and statistical modeling on complex datasets
- Build data pipelines and interactive visualizations using Tableau, Power BI, or Matplotlib
- Collaborate with engineering teams to productionize models and monitor performance
- Communicate insights and recommendations to non-technical stakeholders and clients
Requirements
- Bachelor's Degree in Data Science, Computer Science, Statistics, or related discipline
- 3+ years of hands-on experience in data science or machine learning
- Proficient in Python, R, and SQL; experience with scikit-learn, XGBoost, TensorFlow, or PyTorch
- Strong background in statistical analysis and A/B testing
- Familiarity with cloud platforms (AWS SageMaker, Azure ML, or GCP) is an advantage
- Master's or PhD preferred; portfolio of projects (GitHub link required)
