Top Data Science Jobs in Berlin

The Head of Data Science will lead the development and implementation of machine learning models, manage a team, provide technical guidance, and collaborate with stakeholders to drive business insights and opportunities. The role emphasizes mentorship, advocacy for best practices, and optimization of data science processes.

Lead a team in global discovery focused on Search and Recommendation services using Machine Learning and AI to enhance customer experience. Supervise the machine learning project lifecycle, improve team performance, and collaborate with product teams to develop impactful solutions. Mentor and guide data professionals while setting long-term strategic goals for the organization.

You will lead efforts in machine learning and data science to enhance product performance, focusing on business results rather than academic research. Responsibilities include improving automated campaign steering, collaborating on data-driven solutions, and optimizing recommendation systems through data analysis.

As a full-stack Data Scientist, you will build end-to-end models to enhance customer journeys through data-driven insights. Your role includes analyzing data, collaborating with product and UX teams, and applying advanced machine learning techniques. You'll also work on deployment and performance validation of data science models within a cross-functional squad environment.

As a Staff Data Scientist at Delivery Hero, you will lead the development of ML models and data science initiatives to enhance customer experiences. You will focus on customer identity resolution, create behavioral ML models, optimize marketing science efforts, and leverage Generative AI for content enhancement. You will also mentor junior scientists and drive cross-functional collaboration.

The Staff Data Scientist will lead innovation in Ad Tech by applying advanced machine learning models to improve ad effectiveness. Responsibilities include analyzing large datasets, mentoring junior staff, and collaborating across teams to develop and deploy models that enhance advertising performance.

Senior Data Scientist role at Snowflake involving driving high impactful data initiatives, building data platforms, collaborating with engineers and product managers, optimizing data pipelines, and finding optimal solutions to complex problems.

The Senior Data Scientist will enhance consumer experiences by optimizing search algorithms and machine learning models. They will collaborate with cross-functional teams, analyze large datasets for insights, and tackle complex problems to improve customer satisfaction and drive growth.

The Data Scientist will enhance and optimize search algorithms, analyze large datasets, collaborate across teams to improve global search, and innovate with machine learning techniques to solve complex business problems. The role involves delivering user-centric solutions to improve customer satisfaction and retention.

The Principal Data Scientist will lead advanced analytics and data science initiatives at Cint, focusing on media measurement and data solutions. Responsibilities include developing and deploying statistical models, collaborating with teams to refine methodologies for media platforms, managing projects, and mentoring junior data scientists. Communication of complex insights to non-technical stakeholders is also essential.

The Junior Data Scientist will analyze data to develop and implement fraud detection models, optimize model performance, and collaborate with cross-functional teams. The role involves A/B testing, continuous refinement of models, and monitoring model effectiveness, all while contributing to data-driven business strategies.

As a Senior Data Scientist, you will build data models, dashboards, and reports to provide insights for mobile subscription developers, driving data-informed decisions and enhancing user experience. You will collaborate with teams to improve data pipelines and develop predictive models, ultimately launching new features to benefit customers.

As a Senior Data Scientist, you will optimize business processes, create and analyze A/B tests, design algorithms for core business, enhance data collection strategies, and explain findings to stakeholders. Your role involves developing models, automating work, and making data-backed business cases to shape product roadmaps.

As a Senior Data Scientist at Kaizen Gaming, you will develop and manage machine learning models to enhance AI products, analyze data for insights, and mentor junior team members. You will engage in model selection, tuning, and optimization, ensuring that AI features transition smoothly from design to implementation.