Top Data Science Jobs in Germany

Lead the development of an AI platform, defining strategy, driving execution, and managing cross-functional teams to deliver ML-based applications.

Lead the development of reporting and analytics capabilities, improve product features, and drive cross-functional collaboration to enhance customer satisfaction and revenue growth.

The Enterprise Account Executive will drive new client acquisition, develop sales pipelines, and close business deals by partnering with clients and understanding their needs.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

The Analyst will research and provide insights on AI, ML, and Data Science, advising clients and supporting sales with high-value presentations and mentorship.

The Lead Golang Software Engineer develops server solutions, leads technical designs and code reviews, mentors colleagues, and ensures the quality of engineering practices in the Commercial Systems unit.

Lead the Workforce Analytics product strategy and roadmap, conduct market research, manage the product lifecycle, and collaborate with cross-functional teams to optimize workforce solutions.

Join Circonomit and contribute your skills to tech and sales initiatives. Engage in a dynamic startup culture while driving impactful solutions.

Lead the product vision for Payrails' Payouts product, managing the lifecycle from identification to launch, while aligning with business and customer needs.

The Developer Relations role involves building community engagement, creating technical content, managing social media, and collaborating on product development at Prior Labs.

The AI/ML Product Manager will lead the product lifecycle for AI/ML initiatives, focusing on technology innovation, optimization, and collaboration across teams to enhance customer experiences and drive growth metrics.

The IT Consultant will work in various IT fields like Web Development, Cloud, Data Science, and DevOps, with a focus on agile methodologies. They will support clients locally in Hamburg without travel requirements, contributing to team-based knowledge sharing and personal development.

As a Data Science Manager, you lead a team, manage data-driven marketing projects, enhance team competencies, and engage with C-level clients to drive business transformations.

The Technical Program Manager will lead cross-functional initiatives, manage projects between Lyft and Freenow, and ensure strategic alignment and successful delivery of high-priority projects.

Responsible for managing market communication processes, overseeing data exchange between market partners, and addressing process issues. Optimize system errors and act as a liaison via email and phone.

As a Data Science Editor, you'll create and manage technical content, recruit freelancers, ensure quality, and drive SEO growth for DataCamp's educational platforms.

As a Data Science Editor, you will create and edit data and AI tutorials, manage freelancers, and enhance editorial growth through SEO practices.

As a Data Science Editor, you will create, edit, and manage technical data and AI tutorials, recruit freelancers, and enhance content quality for DataCamp's platforms.

The Data Science Editor will create and edit technical tutorials, manage freelance content creators, and enhance editorial content for DataCamp's platforms to drive organic traffic.

Kittl seeks innovative individuals for engineering and product roles. Applicants should show passion for design, ownership, and collaboration. Areas include frontend, backend, full stack, data, and product management.

Support the Enterprise Risk Management team by driving digital innovation, improving processes, and engaging with AI use cases while working on data management solutions.

As an Intern Data Scientist, you will develop machine learning models, analyze data, and support strategic consulting projects in a collaborative team environment.

The role involves developing machine learning algorithms for financial applications, collaborating with experts, building data pipelines, and communicating insights. Requires deployment of end-to-end data science solutions, especially in pricing optimization and forecasting within Azure cloud infrastructure.

The role involves collaborating on machine learning algorithms for pricing optimization, building data pipelines, and communicating insights. Experience with financial data science is essential.

Lead and manage a data science team, develop algorithms for real-time bidding, mentor team members, and align with product stakeholders.