Data Science Manager

Key Responsibilities

• Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development
• Define, implement, and refine the AI and ML strategy and roadmap, aligning with the organization's long-term goals and evolving business needs
• Drive the development and deployment of state-of-the-art AI methodologies, leveraging the latest advancements in machine learning, artificial intelligence, and computational techniques
• Present complex, data-driven insights and strategic recommendations to stakeholders, driving high-level decision-making
• Develop and nurture relationships with business partners and stakeholders across the organization, ensuring effective collaboration and alignment on AI-driven projects
• Ensure the scalability, reliability, and robustness of AI solutions through advanced model development, deployment, and monitoring practices
• Proactively manage project risks and mitigate potential issues, ensuring successful delivery and alignment with strategic goals
• Conduct pioneering research in emerging areas, integrating new technologies and methodologies to solve complex business problems

Pre-Requisites

• 12+ years of experience in AI, Data Science or a related field, with a proven track record of leading and executing high-impact, technically complex projects
• Extensive expertise in advanced machine learning algorithms, deep learning, statistical modeling, and AI, with hands-on experience in cutting-edge techniques
• Mastery of programming languages such as Python, with extensive experience in advanced machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, LangChain, Transformers, OpenAI SDK, or Hugging Face)
• Advanced skills in SQL and hands-on experience with big data technologies
• Deep understanding of LLMs, prompt engineering, and transformer architectures
• Prior experience leading Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA
• Demonstrated expertise in MLOps practices, including model deployment, monitoring, and optimization at scale
• Outstanding communication skills, both written and verbal, with the capability to convey complex technical concepts to diverse audiences and influence executive decision-making
• Ability to manage and deliver multiple high-stakes projects simultaneously, with a deep understanding of how to align data science initiatives with overarching business objectives and strategies
• (Preferred) Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research