Top Data Science Jobs in Budapest

The Project Manager will oversee company-wide AI projects, ensuring alignment and efficient execution, while reporting directly to the Founder. Responsibilities include strategic decision support, task prioritization, team supervision, and stakeholder management, aimed at achieving the company's AI goals.

As a Lead Technical Program Manager for data science at Mastercard, you will manage data science projects, define roadmaps, develop execution plans, track progress, anticipate risks, and translate technical terms for business understanding. You will collaborate with data scientists, product managers, and engineers to enhance customer experience through effective project management.

The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.

The Data Team Manager at Storyblok will lead data science and engineering efforts, shaping data strategy and managing a team of four. Responsibilities include defining the data analytics strategy, partnering with various teams for actionable insights, and ensuring high-impact projects are delivered on time to support business objectives.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

The Head of Growth will lead a team focused on driving commercial results using data and technology. Responsibilities include managing the marketing technology stack, overseeing customer lifecycle analytics, optimizing lead conversion rates, developing SEO practices, and collaborating with various departments to implement data solutions.