Senior Data Scientist - Python, DL, ML

Primary Responsibilities:

• Analyze large and complex datasets to extract actionable insights and support data-driven decision-making
• Design, develop, and deploy machine learning and deep learning models for various business use cases
• Utilize AutoML tools (e.g., H2O.ai, Google Cloud AutoML, DataRobot) to accelerate model development
• Apply classical ML algorithms such as Logistic Regression, Decision Trees, Clustering (K-means, Hierarchical, SOM), PCA, Bayesian models, and Time Series forecasting (ARIMA/ARMA)
• Implement deep learning techniques including CNNs, LSTMs, GRUs, and optimization methods like Adam, Adagrad, and regularization techniques (L1, L2)
• Work on recommender systems using Collaborative Filtering, FPMC, FISM, Fossil, etc.
• Develop and optimize models for NLP, speech, and image processing applications
• Use deep learning frameworks such as TensorFlow, Keras, PyTorch, XGBoost, Caffe, and Theano for model development and deployment
• Generate synthetic data using tools like Gretel.ai and Synthea when real data is limited or sensitive
• Collaborate using tools like Confluence for documentation and knowledge sharing
• Stay updated with the latest research and advancements in AI/ML and apply them to real-world problems
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so