Senior Data Scientist

Hello Everyone,

Optum

Experience: 8+ yrs

Location: Bangalore

Notice Period: Immediate to 60 days

Key Skills:

• Proficiency AutoML: Automated Machine Learning (AutoML) tools like H2O.ai, 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, R, 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, LSTM’s GRU’s is a plus

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• 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 and 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 collaboration tools such as: Confluence (Documentation)
• 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

Qualifications:

• Graduate degree or equivalent experience.
• AI Scientist
• Master’s or Relavant in Computer Science, Machine Learning, or related field

• 8+ years of experience in AIML engineering and research

• Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)
• Hands-on experience with MLOps, model deployment, and monitoring
• Proven expertise in LLMs, generative AI, and deep learning
• Solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)
• Familiarity with AIML governance, ethics, and responsible AI practices

arshad_mohammad@optum.com.

Thanks and Regards,

Arshad Ayub - Talent Scout

Deputy Manager - TA

arshad_mohammad@optum.com

Optum