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Top Data Science Jobs in Germany
As a Field Engineering Manager, you will lead a pre-sales team supporting strategic and enterprise customers in the EMEA region, manage team development, enhance sales strategies, and build relationships with key partners to drive technology adoption and customer satisfaction.
As a Data Science Graduate, you will develop and deliver analytical strategies for Visa's clients in Europe. Your role involves coding, managing data, conducting analysis, and promoting data-driven culture while collaborating with various teams and clients to deliver actionable insights.
The Head of Growth will lead a team focused on driving commercial results using data and technology. Responsibilities include managing the marketing technology stack, overseeing customer lifecycle analytics, optimizing lead conversion rates, developing SEO practices, and collaborating with various departments to implement data solutions.
The Solution Architect will drive the adoption and successful deployment of Mistral AI products by working closely with clients from pre-sale to post-implementation stages. They will provide technical expertise in product implementation, ensure customer success through support and feedback, and collaborate with the product team to design new features, optimizing user experiences with generative AI.
Senior Product Manager leading AI-driven technology efforts in physical product innovation for a top eCommerce company. Responsibilities include working with cross-functional teams, shaping AI products, driving roadmaps, and monitoring competitive capabilities.
As a Data Science Intern, you will apply software engineering and mathematical skills to improve cybersecurity technology, work with large-scale data, create predictive models, and experiment with new algorithms in a remote environment.
As a Data Science Intern at CrowdStrike, you will work on projects involving binary analysis, NLP, and time series processing. You'll gain hands-on experience in writing scalable code, collaborating with Senior Data Scientists, and utilizing cutting-edge technology to make an impact.
The Data Team Manager at Storyblok will lead data science and engineering efforts, shaping data strategy and managing a team of four. Responsibilities include defining the data analytics strategy, partnering with various teams for actionable insights, and ensuring high-impact projects are delivered on time to support business objectives.
As a Team Lead in Data Science at AUTO1 Group, you will collaborate with stakeholders to develop Machine Learning solutions, enhance data platforms, and drive innovation within your team. Your role will involve leading projects, fostering a data-driven culture, and mentoring team members to achieve their goals.
The Senior Data Scientist will guide technology strategy for machine learning and optimization, ensuring global efficiency and reliability through data analysis and optimization techniques at a high performance scale.
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.
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.
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.
As a Senior BI Data Scientist, you will develop machine learning algorithms to enhance the personalized shopping experience, deploying high-performance solutions while collaborating in a dynamic team. Responsibilities include designing innovative algorithms, improving existing systems, and ensuring successful ML model deployment.
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 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.
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