Data Scientist

As a Senior Data Scientist, you will utilize your expertise in machine learning, data analysis, and emerging technologies such as LLMs and Gen AI to extract valuable insights from data. Your role involves identifying trends, patterns, and opportunities within structured and unstructured data sets. Proposing and validating AI/ML use cases based on business requirements and stakeholder needs will be a crucial aspect of your responsibilities. You will be responsible for building, evaluating, and deploying machine learning models for various tasks such as classification, regression, and clustering. Additionally, you will collaborate with cross-functional teams to develop intelligent solutions using LLMs and GenAI tools like chatbots, summarization, and content generation. Ensuring data quality, model interpretability, and ethical AI practices will be integral to your work. Documentation of experiments, sharing findings, and active participation in knowledge sharing within the team are also key responsibilities that you will undertake. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A minimum of 3-4 years of hands-on experience in data science and machine learning is required. Proficiency in Python and ML libraries, along with experience in data wrangling, feature engineering, and model evaluation, is essential. Familiarity with LLMs and GenAI tools such as Hugging Face, LangChain, and OpenAI APIs is preferred. Exposure to cloud platforms like AWS, GCP, or Azure, and version control systems like Git, will be advantageous. Strong communication and storytelling skills, coupled with a data-driven mindset, are qualities that will help you succeed in this role.,