Senior Data Scientist ⭐ Featured
We are seeking a Senior Data Scientist to lead the end-to-end development of Machine Learning and NLP solutions, encompassing problem framing, data exploration, feature engineering, model building, validation, and deployment for complex business use cases.
You will perform advanced data analysis and preprocessing on large structured and unstructured datasets while ensuring data integrity, quality checks, security, and regulatory compliance. Close collaboration with product owners, system architects, and client stakeholders is expected to translate business requirements into scalable AI/ML architectures and production-ready solutions.
The role involves driving ML asset creation, contributing to reusable components and frameworks, implementing MLOps best practices, and overseeing deployment on cloud or on-premise infrastructure. Staying updated with emerging trends such as Generative AI and LLM-based applications is important.
The ideal candidate brings 7-12 years of strong Data Science experience with proven expertise in delivering ML/AI solutions across multiple domains. Strong technical proficiency in Python (NumPy, Pandas, Matplotlib, Seaborn), SQL, and ML/DL frameworks such as Scikit-Learn, TensorFlow, and PyTorch is required, along with hands-on experience in model tuning, feature engineering, statistical techniques, and Agile methodologies.