Sr Data Scientist

Role Overview: As a Senior Data Scientist specializing in Data & Analytics, you will be responsible for leveraging advanced analytics, LLMs, and modeling techniques to drive business impact and AI strategy. Your role will involve collaborating with data engineering teams, leading workshops to demonstrate the value of LLM use cases, and mentoring team members in advanced AI techniques. Key Responsibilities: - Design and implement advanced machine learning models, such as deep learning, time-series forecasting, recommendation engines, and LLM-based solutions like GPT and LLaMA. - Develop use cases for enterprise search, document summarization, conversational AI, and automated knowledge retrieval using large language models. - Work closely with data and ML engineering teams to integrate LLM-powered applications into scalable, secure, and reliable pipelines. - Partner with cross-functional stakeholders to identify opportunities for applying LLMs and generative AI to solve complex business challenges. - Act as an internal thought leader on AI and LLM innovation, keeping the company at the forefront of industry advancements. Qualifications Required: - Education in Data Science, Artificial Intelligence, Computer Science, or related quantitative discipline. - 5+ years of hands-on experience in data science, with at least 2 years working with LLMs or generative AI technologies. - Proficiency in Python and SQL, including libraries like Transformers (Hugging Face), LangChain, PyTorch, and TensorFlow. - Strategic thinker with excellent communication and storytelling skills, able to articulate the value of LLMs and advanced analytics effectively. Note: No additional details of the company were provided in the job description.,