Data Scientist 4 to 12 Years Pan India
2 weeks ago
Processing, cleansing and verifying the integrity of data used for analysis.
- Data mining and performing EDAs using state-of-the-art methods.
- Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques.
- Help enhance data collection procedures to include information that is relevant for building analytical systems
- Doing ad-hoc analysis and presenting results in a clear manner.
- Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentations.
**Primary Skills**:
- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD etc.). Good applied statistics skills, such as distributions, statistical inference & testing, etc.
- Excellent understanding / hand-on experience in NLP and computer vision.
- Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
- Excellent coding experience in common data science language & tools such as R, Python, Go, SAS, Matlab etc.
- Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV etc.
- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoast, H2O etc.
- Preferably, person should have domain knowledge on CPRD/ FS/ MALS/ Utilities/ TMT
- Good understanding & implementation experience of cloud platform e.g. AWS, Azure, GCP.
**Secondary Skills**:
- ** PLUS**: Knowledge/ experience on deployment of model in production.
- ** PLUS**: Knowledge/ experience to execute large dataset on Hadoop, Pyspark, etc
- ** PLUS**: Proficiency in using query languages such as SQL, Hive, etc.
- ** PLUS**: Experience with data Visualization tools such as Tableau, MS PowerBI etc.
- Data-oriented personality.
- Great communication skills.
- Exposure in different domains.
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