Data Scientist for Predictive Analytics
Skills Required
Description
This role calls for a Data Scientist who can apply predictive analytics to real-world datasets and deliver actionable insights. The project will be short-term but highly focused on producing measurable outcomes.
The ideal candidate should have expertise in Python and a strong command of Pandas for data manipulation. Clean, structured datasets will be the foundation of the predictive models being developed.
Experience with machine learning algorithms is essential. The developer will need to apply the right models for classification, regression, or clustering tasks depending on project requirements.
Familiarity with Scikit-learn will be key for implementing and testing models efficiently. Knowledge of evaluation metrics and hyperparameter tuning will also be expected to ensure accuracy and reliability.
The role will involve working with existing data sources and building prototypes that demonstrate predictive power. Results should be easy to understand and ready to present to non-technical stakeholders.
Clear documentation and communication will be required. The project deliverables must include not only working models but also explanations of the logic behind them.
This project is perfect for a data scientist who enjoys applying theory to practical business problems and can move quickly without sacrificing quality.
Final deliverables will cover:
✅ Building predictive models using machine learning technique...