
Data Insight Expert
1 day ago
As a Data Scientist, you will leverage advanced data analysis, feature engineering, and visualization to derive actionable insights.
Key Responsibilities:- Perform detailed data analysis using pandas, numpy, sweetviz, pandas-profiling, and plotly to identify trends, detect outliers, and address missing values.
- Create automated EDA reports to support data-driven decision-making.
- 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.
- 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.
- 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).
- Health Benefits: Comprehensive health coverage, including in-patient, out-patient care, and life insurance.
- Work-Life Balance: Flexible paid time off for medical leave, family planning, and personal time.
- Incentives & Rewards: Financial rewards, interest-free loans, extra salary, car financing, and savings programs.
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