Top Data Science Jobs in Berlin

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

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.

As a Growth Product Manager, you'll own acquisition and activation outcomes, designing and testing product-led growth initiatives targeting German SMEs.

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

The Senior Manager, Courier Marketing will optimize media budget, lead media buying strategy, and design testing frameworks to drive Courier Acquisition growth.

The Business Development Representative will drive commercial adoption of AI models, generate sales pipelines, qualify leads, and engage with technical buyers. Responsibilities include outbound outreach, discovery calls with data professionals, and supporting community growth efforts.

As a Senior/Staff Product Manager, you will drive the strategy and execution for the marketplace, enhancing partner experiences and collaborating with cross-functional teams to optimize product offerings.

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.

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

The Product Manager for AI Platform will define strategy, implement AI solutions, ensure compliance, and collaborate with cross-functional teams.

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.

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.

Lead the development and execution of pricing strategies to drive growth and profitability, managing a team and collaborating across regions and functions.

Lead the strategy and execution of pricing configurations in a global logistics context. Manage teams, collaborate with engineering and data science, and drive data-driven decision-making to enhance pricing performance and customer experience.

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.

The Graduate Program allows recent graduates to rotate through departments, participate in training, and work on real business cases while contributing to business solutions.

Lead and mentor a data science team focusing on fraud prevention, define analytical approaches, oversee ML solution execution, and enhance decision engine effectiveness.

As a Data Scientist, you'll bridge cutting-edge AI models with real-world applications, driving experimentation, customer success, and education while showcasing TFM value through PoCs and workshops.

Lead and mentor a data science team, design and deploy ML models, develop algorithms, oversee ML lifecycle, and ensure production reliability.

As a Sr. Data Science Manager, you will lead a team to enhance predictive modeling and credit risk strategies, fostering team growth and MLOps practices.

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

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.

The Senior Data Science Engineer will develop and deploy machine learning solutions focused on demand forecasting and optimization for a fleet management platform, ensuring reliability and impact, while working with various stakeholders.

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