Top Data Science Jobs in Czechia

The Senior .NET Engineer at 3Pillar Global will design, develop, and maintain high-performance scalable applications using C#. Responsibilities include implementing automated testing frameworks, establishing CI/CD pipelines with GitHub Actions, and leveraging AWS services for cloud deployment. The role requires troubleshooting production issues and collaborating with cross-functional teams to ensure high-quality software solutions.

The Senior Product Manager role involves managing the product lifecycle for analytics tools and dashboards, collaborating with various teams to define product strategy, and utilizing data to drive business value. You will ensure user-friendly experiences and monitor product performance while providing insights to leadership.

The Senior Data Science Engineer will develop cutting-edge applications, design scalable services for data pipelines, and work on ML infrastructure and Generative AI applications, while engaging in Agile methodologies and focusing on client success.

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.