Head of Data Science

The ideal candidate will bring strong leadership experience in data science, strategic vision for data-driven initiatives, and a proven track record of delivering business impact. Key requirements are a deep technical understanding of data science, machine learning, and MLOps, alongside the ability to build and lead teams, communicate complex ideas to stakeholders, and align data strategy with broader business goals. You will play an integral role, taking ownership of a team focused on designing, developing, and deploying ML systems to solve real world problems and enhance business processes, leveraging cloud platforms to build, train, and scale ML models. As Head of Data Science, you will lead the development and implementation of state-of-the-art algorithms, including Computer Vision techniques, LLMs and other GenAI models. Collaborating closely with multiple stakeholders and cross-functional teams, including Data and Software engineers, to integrate AI solutions into existing systems. Working with Product and business stakeholders to understand challenges and translate them into efficient AI-driven products aligned with broader business goals. Keeping up with the latest advancements in AI, research new techniques and implement them to enhance the performance and accuracy of solutions.