185 germany English-speaking jobs in Brandenburg

Leads a team of Data Scientists, Operations Research Scientists, and Machine Learning Engineers to maximize the impact of real-time courier incentive systems. Owns the data science strategy for courier compensation models, dynamic boost and surge mechanisms, and engagement incentives. Drives critical business outcomes by taking ownership of key courier supply metrics. Designs the conceptual framework for real-time incentive engines, balancing model sophistication with latency and reliability constraints. Oversees the development of predictive models to address local supply-demand imbalances and optimize real-time boost levels. Ensures pay models are rigorous, auditable, and free from unintended bias. Leads the design and execution of complex marketplace experiments to measure the real-world impact of pay and incentive changes. Directs the modeling of courier behavior and builds frameworks to maximize the ROI of incentive spend.

Senior Data Scientist will design, develop, and deploy data-driven solutions for logistics challenges. Responsibilities include optimizing order preparation triggers, courier dispatch timing, and balancing business metrics. Requires advanced machine learning expertise, experience with sequential decision-making problems, and strong Python and SQL skills.

Senior Data Scientist will design, develop, and deploy data-driven solutions for logistics challenges. Responsibilities include optimizing order preparation triggers, courier dispatch timing, and balancing business metrics. Requires advanced machine learning expertise, experience with sequential decision-making problems, and strong Python and SQL skills.

Senior Operations Research Scientist will design and implement optimization systems for a global food delivery marketplace. Responsibilities include developing robust optimization models, collaborating with data scientists, and mentoring junior team members. Requires advanced proficiency in optimization techniques, experience with commercial and open-source solvers, and Python programming.

Senior Data Scientist will design, develop, and deploy data-driven solutions for logistics challenges. Responsibilities include optimizing order preparation triggers, courier dispatch timing, and balancing business metrics. Requires advanced machine learning expertise, experience with sequential decision-making problems, and strong Python and SQL skills.

Senior Data Scientist will design, develop, and deploy data-driven solutions for logistics challenges. Responsibilities include optimizing order preparation triggers, courier dispatch timing, and balancing business metrics. Requires advanced machine learning expertise, experience with sequential decision-making problems, and strong Python and SQL skills.

Senior Data Scientist will design, develop, and deploy data-driven solutions for logistics challenges. Responsibilities include optimizing order preparation triggers, courier dispatch timing, and balancing business metrics. Requires advanced machine learning expertise, experience with sequential decision-making problems, and strong Python and SQL skills.

Leads a team of Data Scientists, Operations Research Scientists, and Machine Learning Engineers to maximize the impact of real-time courier incentive systems. Owns the data science strategy for courier compensation models, dynamic boost and surge mechanisms, and engagement incentives. Drives critical business outcomes by taking ownership of key courier supply metrics. Designs the conceptual framework for real-time incentive engines, balancing model sophistication with latency and reliability constraints. Oversees the development of predictive models to address local supply-demand imbalances and optimize real-time boost levels. Ensures pay models are rigorous, auditable, and free from unintended bias. Leads the design and execution of complex marketplace experiments to measure the real-world impact of pay and incentive changes. Directs the modeling of courier behavior and builds frameworks to maximize the ROI of incentive spend.

Senior Operations Research Scientist will design and implement optimization systems for a global food delivery marketplace. Responsibilities include developing robust optimization models, collaborating with data scientists, and mentoring junior team members. Requires advanced proficiency in optimization techniques, experience with commercial and open-source solvers, and Python programming.

Leads a team of Data Scientists, Operations Research Scientists, and Machine Learning Engineers to maximize the impact of real-time courier incentive systems. Owns the data science strategy for courier compensation models, dynamic boost and surge mechanisms, and engagement incentives. Drives critical business outcomes by taking ownership of key courier supply metrics. Designs the conceptual framework for real-time incentive engines, balancing model sophistication with latency and reliability constraints. Oversees the development of predictive models to address local supply-demand imbalances and optimize real-time boost levels. Ensures pay models are rigorous, auditable, and free from unintended bias. Leads the design and execution of complex marketplace experiments to measure the real-world impact of pay and incentive changes. Directs the modeling of courier behavior and builds frameworks to maximize the ROI of incentive spend.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong Python skills, experience with cloud services, and familiarity with Kubernetes are required.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong Python skills, experience with cloud services, and familiarity with Kubernetes are required.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong Python skills, experience with cloud services, and familiarity with Kubernetes are required.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong Python skills, experience with cloud services, and familiarity with Kubernetes are required.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong Python skills, experience with cloud services, and familiarity with Kubernetes are required.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong Python skills, experience with cloud services, and familiarity with Kubernetes are required.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong Python skills, experience with cloud services, and familiarity with Kubernetes are required.

Senior Machine Learning Engineers will design, build, and productionize machine learning systems for logistics optimization. Responsibilities include researching, implementing, and deploying ML techniques to solve supply and demand challenges, scaling solutions, and collaborating with multi-functional teams. Strong Python skills, experience with cloud services, and familiarity with Kubernetes are required.

The Data Center Engineering Operations Technician is responsible for the delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure. The role requires a highly driven individual who demonstrates initiative and proactively seeks solutions to complex technical problems. Responsibilities include setting and maintaining safety standards, driving continuous improvement efforts, and collaborating with stakeholders to deliver operational excellence.

The Data Center Engineering Operations Technician is responsible for the delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure. This role requires a highly driven individual who demonstrates initiative and proactively seeks solutions to complex technical problems. The technician will be accountable for setting and maintaining the highest standards for safety, driving continuous improvement efforts, and ensuring 100% uptime on all customer-supporting infrastructure.