Role & responsibilities :

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

- Robust 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.

📌 Senior Data Scientist (Bengaluru)
🏢 Selective Global Search
📍 Bengaluru