Data Scientist

About the Role We are seeking an experienced data scientist to deliver insights on a daily basis. The role involves mining, interpreting, and cleaning data, building models—including advanced AI techniques such as LLMs and agentic AI—and communicating findings to stakeholders. You will collaborate with product design and engineering teams to turn data into actionable insights and drive smarter business processes. What You'll Do

• Collaborate with product design and engineering teams to develop an understanding of needs.
• Research and devise innovative statistical models for data analysis, including advanced AI techniques such as LLMs and Agentic AI.
• Communicate findings to all stakeholders.
• Enable smarter business processes by using analytics for meaningful insights.
• Keep current with technical and industry developments, especially in generative AI and autonomous agent systems.
• Serve as data strategist to identify and integrate new datasets and work closely with the engineering team in the development of data products.
• Execute analytical experiments to help solve problems across various domains and industries.
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns, and interpret data with clear objectives in mind.
• Implement analytical models/machine learning, including LLMs and agentic AI solutions, in production by collaborating with software developers and IT team.
• Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI-based applications.
• Develop, fine-tune, and deploy large language models and agentic AI systems for automation, knowledge extraction, and conversational AI use cases.
• Stay updated with the latest advancements in generative AI, prompt engineering, and autonomous agents. What We're Looking For
• Five or more years of experience in data science or proven experience.
• Advanced experience in pattern recognition, predictive modeling, and generative AI (LLMs, transformers, etc.).
• Hands-on experience with LLM frameworks (e.g., Hugging Face Transformers, LangChain, OpenAI APIs).
• Familiarity with agentic AI concepts and frameworks (e.g., AutoGPT, BabyAGI, CrewAI).
• Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
• Experience in data mining.
• Understanding of machine learning, deep learning, and operations research. Nice to Have
• Experience with Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI-based applications.