Data Insight Analyst

5 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time

This is an exciting opportunity for an experienced Data Scientist to leverage advanced data analysis, feature engineering, and visualization to derive actionable insights.

Key Responsibilities
  • Work on solving complex business problems using data-driven approaches, statistical techniques, and scalable machine learning models.
  • Enhance operational efficiency, customer engagement, and product innovation through data analysis and visualization.
Data Analysis & Visualization
  • Perform detailed data analysis using pandas, numpy, sweetviz, pandas-profiling, and plotly.
  • Create automated EDA reports to support data-driven decision-making.
Feature Engineering & Selection
  • Develop and apply robust feature engineering techniques such as encoding (one-hot, label, ordinal), TF-IDF, and domain-specific transformations.
  • Engineer features from time-series datasets using lags, rolling statistics, and seasonal patterns.
  • Apply dimensionality reduction and feature selection techniques to optimize model performance and interpretability.
Model Support & Optimization
  • Collaborate with ML engineers to transform features into model-ready datasets.
  • Contribute to model pipeline enhancements by integrating engineered features and tracking their impact using A/B testing or evaluation metrics.
Requirements
  • Strong programming skills in Python with experience in data science libraries such as pandas, numpy, scikit-learn, and plotly.
  • Deep expertise in data visualization, statistical analysis, and report generation using seaborn, matplotlib, sweetviz, and pandas-profiling.
  • Proven experience with feature engineering for structured, unstructured, and time-series data.
  • Familiarity with text feature extraction (e.g., TF-IDF, embeddings) and dimensionality reduction techniques (e.g., PCA, t-SNE).
Additional Skills
  • Strong problem-solving and analytical thinking skills.
  • Excellent communication abilities for presenting data-driven insights to both technical and non-technical audiences.

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