Data Science Lead

As a Data Science Lead, your role will involve leading a team of data scientists, overseeing machine learning solution development, and translating complex business challenges into data-driven insights and models. You will be responsible for mentoring the team, planning and managing projects, designing and deploying ML systems, staying updated on AI/ML advancements, driving innovation in generative AI and LLM projects, collaborating with cross-functional teams, and presenting insights to clients and stakeholders. Key Responsibilities: - Lead and mentor a team of data scientists and interns, fostering growth and technical excellence. - Plan, prioritize, and manage projects aligned with organizational goals. - Design, develop, and deploy end-to-end ML systems from data acquisition to model production. - Stay ahead of AI/ML advancements and implement state-of-the-art research into practical applications. - Drive innovation in generative AI and large language model (LLM) projects. - Collaborate cross-functionally with business and technical teams to identify opportunities and deliver impactful solutions. - Present insights, findings, and recommendations to clients and stakeholders in a clear and effective manner. Required Skills: - 7+ years of experience in Data Science, Machine Learning, or related fields. - Proven experience managing senior and junior data scientists in a fast-paced environment. - Strong leadership and project management skills. - Hands-on expertise in Python, object-oriented programming, and data structures/algorithms. - Solid understanding of statistics, probability, and applied mathematics. - Proficiency with ML/DL libraries such as Scikit-learn, TensorFlow, Keras, PyTorch. - Deep experience with ML algorithms including Regression, Gradient Descent, Decision Trees, and SVM. - Proven expertise with Transformer architectures and Large Language Models (LLMs). - Experience building LLM applications using frameworks such as LangChain and LlamaIndex. - Ability to interpret and implement advanced ML research papers into production-ready solutions. - Strong communication skills and comfort in presenting to clients and leadership teams. Preferred Skills: - Experience with cloud ML platforms (AWS, GCP, or Azure). - Familiarity with MLOps tools for model deployment and monitoring. - Prior experience in AI strategy or product innovation initiatives.,