Data scientist

Role Overview: You will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Leading a team of data scientists to ensure timely and high-quality delivery of project outcomes will be a key aspect of your role. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Key Responsibilities: - Enhancing data collection procedures and ensuring data quality and accuracy. - Presenting analytical results to technical and non-technical stakeholders. - Creating custom reports and presentations with strong data visualization skills. - Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. - Hands-on experience with algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. - Building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. - Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost. - Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS. - Deploying models in production. Qualifications Required: - Deep understanding and hands-on experience with data science and machine learning techniques. - Expertise in building deep learning models for text and image analytics. - Proficiency in programming languages such as Python, R, and common data science tools. - Experience with statistical inference, hypothesis testing, and cloud platforms. - Excellent communication and interpersonal skills.,