Data Scientist

As a Senior Data Scientist, you will drive data science initiatives from conception to deployment, crafting advanced ML models and providing mentorship to junior colleagues. Collaborate seamlessly across teams to integrate data\-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. **Responsibilities:** * Lead and manage data science projects from conception to deployment, ensuring alignment with business objectives and deadlines. * Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. * Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation. * Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. * Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. * Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance regulations. **Qualifications:** * 4\+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. * 3\+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. * In\-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case. * Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. * Strong problem\-solving skills and the ability to iterate and experiment to optimize AI model behavior. * Proficiency in Python programming language for data analysis, machine learning, and web development. * Hands\-on experience with machine learning libraries such as NumPy, SciPy, and scikit\-learn. * Experience with distributed computing frameworks such as PySpark and Dask. * Excellent problem\-solving skills and attention to detail. * Ability to communicate effectively with diverse clients/stakeholders. **Education Background:** * Bachelors in Computer Science, Statistics, Mathematics, or related field. ***Folks with shorter notice period to be preferred***