Top Data Science Jobs in Prague

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.

The Data Scientist role involves creating ETL and modeling pipelines, building automated ML processes, monitoring marketing campaign ROI, and working with marketing automation tools. Ideal candidates possess programming skills, familiarity with ML algorithms, and experience in AWS environments.

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 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.

As a Senior Data Scientist, you will build data models, dashboards, and reports to provide insights for mobile subscription developers, driving data-informed decisions and enhancing user experience. You will collaborate with teams to improve data pipelines and develop predictive models, ultimately launching new features to benefit customers.

As a Senior Data Scientist at Collibra, you will deliver AI solutions to enhance customer experiences and support data-driven decisions. Responsibilities include monitoring AI/ML trends, developing AI/ML models, and collaborating with cross-functional teams. You will also evaluate algorithms and contribute to Collibra's AI platforms.