
Data Insight Engineer
5 days ago
Unlock the Power of Data-Driven Insights
About the RoleThis is an exciting opportunity for a skilled Data Scientist to 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.
- 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.
- 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).
- Understanding of model lifecycle and contribution of engineered features to performance.
- Experience with collaborative tools such as Git, Jupyter, and Agile workflows.
In addition to competitive salaries and benefits packages, this role offers:
- Flexible paid time off for medical leave, family planning, and personal time.
- Financial rewards, interest-free loans, extra salary, car financing, and savings programs.
- Structured training, study sponsorships, international trips, and appreciation programs.
- Essential work tools, including a laptop, internet device, and accessories.
- A vibrant work environment with opportunities for growth and development.
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