Regression Models for Structured Data Analysis

I'm seeking a data scientist with expertise in developing and deploying regression models on structured datasets. The project involves extensive data cleaning, preprocessing, and exploratory data analysis (EDA) to ensure high-quality input for modeling.

Key Responsibilities:
- Handle missing values through deletion
- Perform data cleaning and preprocessing
- Conduct exploratory data analysis (EDA)

The ideal candidate will have experience with:
- Feature engineering and dimensionality reduction techniques
- Time-series data, text data, and structured datasets
- Leveraging tools like Pandas, NumPy, and Scikit-learn

You will evaluate models using MSE, MAE, R², and other relevant metrics, ensuring robustness and accuracy. Collaboration with cross-functional teams to integrate machine learning solutions into production environments will also be necessary.

Please prepare to document methodologies, results, and insights for stakeholders.