Top Data Science Jobs in Berlin

As a Lead AI Solutions Consultant, drive revenue by promoting BrazeAI tools, lead technical discussions, execute demos, and facilitate AI Academy workshops while collaborating with stakeholders.

The Senior User Researcher will lead UX research for Grammarly's Agents team, influencing product development through cross-functional collaboration and rigorous methodological approaches.

The Senior User Researcher will lead user experience research for Grammarly's mobile products, collaborating with cross-functional teams and employing various research methods to inform product strategies.

The Director of Threat Research & Reporting will lead a cross-functional team focused on assessing and improving CrowdStrike's threat detection capabilities while managing internal and external research relationships.

As an Industry AI Sales Specialist at HPE, you will develop sales strategies for AI and HPC, engage with IT decision-makers, and guide customer decision-making while achieving sales quotas.

Fugro seeks applicants with expertise in geotechnical engineering, hydrography, and related fields for a permanent position in a dynamic, international team.

Drive commercial adoption of foundation models, engage commercial accounts, support sales cycles, and communicate technical value to clients.

Lead the development of logistics optimization systems, ensuring efficient delivery routing by collaborating across teams and using data-driven strategies to meet company goals.

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.

Responsible for user acquisition across multiple brands, leading a large team, managing a multi-million EUR budget, and driving innovative marketing strategies leveraging data science and AI.

The Product Marketing Manager will focus on customer acquisition in the German market, working with cross-functional teams to enhance marketing strategies and tools for small business funding.

The AI Transformation and Enablement Manager will lead AI adoption across departments, design upskilling initiatives, manage strategic projects, and cultivate an AI literacy culture in the organization.

Lead a team in fraud prevention using machine learning, managing projects, mentoring data scientists, and optimizing decision-making through advanced analytics.

Lead a team of Data Scientists and MLOps Engineers to build ML products that drive revenue and growth, manage talent, and shape technical strategies in collaboration with stakeholders.

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

Lead and manage a team of Data Scientists focusing on ML model implementation, cross-functional collaboration, and measurement of project impacts. Responsible for fostering team growth and success metrics.

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.

As a Field Engineering Manager, you will lead a pre-sales Solutions Architects team, driving revenue and enhancing team effectiveness while building strategic partnerships.

This dual study program in Business Informatics includes practical and theoretical training, working independently on SAP topics, and support from mentors throughout the studies.

Lead payment optimization strategy, improve transaction performance, balance fraud prevention, and collaborate with various teams for system enhancement.

The Data Science Manager will lead a team of data scientists to develop machine learning models for credit-related solutions and promote collaborative, data-driven insights across Kuda.

Lead the deep learning team in the AdTech space, architecting models and driving AI strategies to enhance vendor success and revenue growth.

Data Scientists at QuantCo will analyze data, build machine learning models, and communicate results to stakeholders, aiming for impactful solutions.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.