Top Data Science Jobs in Berlin

As a Manager of Data Science, you'll lead small project teams while overseeing the entire data science lifecycle, from inception to deployment. You'll implement advanced machine learning models, mentor team members, and collaborate closely with clients to understand their needs. Your role will also involve contribution to knowledge sharing and staying current with industry trends.

The Senior Data Scientist will work within the Pricing & Incentives team at Wolt, focusing on consumer-first pricing strategies. Responsibilities include conducting experiments, performing advanced data analysis, and collaborating with cross-functional teams to enhance pricing and incentives solutions.

As the Head of Data Science, you will drive the development and deployment of machine learning models, collaborate with team leads, provide technical guidance, and inspire your team. Your role includes overseeing projects, advocating for best practices, and working with stakeholders to leverage business opportunities.

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 Senior Data Scientist will guide technology strategy for machine learning and optimization, ensuring global efficiency and reliability through data analysis and optimization techniques at a high performance scale.

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.