Senior Data Scientist

As a Senior Data Scientist, you will leverage your expertise in machine learning, data analysis, and emerging technologies such as LLMs and Gen AI to drive business impact. Your primary responsibilities will include analyzing structured and unstructured data to uncover valuable insights, proposing AI/ML use cases aligned with business goals, and developing and deploying machine learning models for various purposes like classification, regression, and clustering. You will work collaboratively with cross-functional teams, including data engineers, product managers, and business stakeholders, to deliver end-to-end intelligent solutions. Utilizing tools like LLMs and GenAI, you will prototype and integrate innovative solutions such as chatbots, summarization, and content generation. It will be crucial to ensure the quality of data, interpretability of models, and adherence to ethical AI practices throughout the process. To be successful in this role, you should hold a Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field, along with 3-4 years of practical experience in data science and machine learning. Proficiency in Python and ML libraries is essential, as well as hands-on experience in data wrangling, feature engineering, and model evaluation. Additionally, familiarity with LLMs and GenAI tools like Hugging Face, LangChain, and OpenAI APIs, as well as experience with cloud platforms (AWS, GCP, or Azure) and version control systems like Git, will be advantageous. Strong communication skills and a data-driven mindset are also key attributes required for this role.,