Data Scientist

6 - 10 years

30 - 45 Lacs

Posted:8 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Data Scientists

Data scientists analyze and interpret complex data to help organizations make informed decisions.

Key Skills:

  • Proficiency AutoML: Automated Machine Learning (AutoML) tools like Azure ML Studio, Google Cloud AutoML, and DataRobotStrong statistical and mathematical knowledge

  • Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, PySpark and SQL

  • Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil

  • Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks Feedforward, CNN, LSTMs GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech Or Image processing

  • Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono

  • Exposure or experience using code version management tools such as: GitHub

  • Synthetic Data Generation: Tools like Gretel.ai and Synthea are used to generate synthetic data, which can be useful for training models when real data is scarce or sensitive -

  • Generative AI experience - LLMs, RAG Architecture(Embeddings(Azure Ai Search, DataBricks) , Semantic Search Etc

  • Production Grade solution architecture for RAG based AI Solutions

Enterprise Analytics & Automation (EAA)

analytics, data science

To ensure the solutions are enterprise-aligned and strategically prioritized, we collaborate closely with CIOs, Global Capability Leaders, and Business Leaders across the organization.

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