Senior Data Scientist

Role & responsibilities :

Looking an immediate, serving or 30 days notice period only.

• Strong expertise in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow/Keras).
• Proven experience in classical ML algorithms regression, classification, clustering, decision trees, random forests, SVMs, neural networks, etc.
• Solid grounding in statistical analysis and hypothesis testing (DOE, forecasting, segmentation, uncertainty analysis, etc.).
• Hands-on experience with data pre processing, feature engineering, imputation, cleansing, transformation, and data exploration techniques (mean-variance, k-means, nearest neighbor, outlier detection, etc.).
• Strong understanding of machine learning pipeline design, from data ingestion to model evaluation and deployment.
• Experience with deep learning frameworks for solving applied problems (e.g., CNNs, RNNs, Transformers).
• Experience working with NLP.
• Exposure to AI/ML deployment on cloud platforms such as Azure or AWS.
• Working knowledge of Docker, CI/CD pipelines, and API development (Flask/Django).
• Experience developing dashboards or reports in Power BI or similar tools.
• Experience mentoring and providing technical direction to team members.