Top Data Science Jobs in Berlin

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

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

Own strategy and operations for the Acquisition engine, implement AI-first workflows, decide on market acquisitions, and manage funnel processes to enhance company growth.

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

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

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.

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

Lead the deep learning team to develop AI-driven ad solutions, enhancing vendor success and driving revenue growth through advanced methodologies and cross-functional collaboration.

Lead and mentor a data science team, focusing on developing and deploying ML solutions using modern infrastructure and advanced techniques. Manage pipelines, model validation, and performance monitoring while driving strategic ML initiatives aligned with company objectives.

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

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