Data Scientist

Role Overview: You will be responsible for designing, building, and optimizing supervised, unsupervised, and deep learning models for various business problems. Additionally, you will clean, transform, and analyze structured and unstructured data to identify significant features. You will also be developing end-to-end AI pipelines, integrating models into production systems, and collaborating closely with product managers, domain experts, and engineers to translate requirements into data science solutions. Tracking model performance and preparing technical documentation and reports will also be part of your role. Staying updated with the latest AI/ML techniques and proposing innovative applications will be essential. Key Responsibilities: - Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. - Clean, transform, and analyze structured and unstructured data to identify significant features. - Develop end-to-end AI pipelines and integrate models into production systems. - Work closely with product managers, domain experts, and engineers to translate requirements into data science solutions. - Track model performance and prepare technical documentation and reports. - Stay updated with the latest AI/ML techniques and propose innovative applications. Qualification Required: - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field - 4-6 years of hands-on experience in Python, R, SQL, Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM), Deep Learning (e.g., TensorFlow, PyTorch, Keras), Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn), Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow) - Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools - Familiarity with large-scale data processing (e.g., Spark, Dask) is a plus - Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain) is highly desirable - Strong analytical and communication skills (Note: The additional details of the company were not present in the provided job description),