184 germany English-speaking jobs in Brandenburg

Designs and implements large-scale optimization systems for logistics networks. Develops and deploys robust optimization models using techniques like mixed-integer programming, constraint programming, and metaheuristics.

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.

Designs and implements large-scale optimization systems for logistics networks. Develops and deploys robust optimization models using techniques like mixed-integer programming, constraint programming, and metaheuristics.

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.

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.

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.

Lead and scale a team of data scientists, operations research scientists, and machine learning engineers to build data-driven solutions for logistics challenges. Translate business problems into modeling strategies and own the data science roadmap for logistics.

Designs and implements large-scale optimization systems for logistics networks. Develops and deploys robust optimization models using techniques like mixed-integer programming, constraint programming, and metaheuristics.

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.

System Engineer for Passenger Information Systems (f/m/d) will deliver subsystem documentation, define and implement requirements, integrate subsystems into trains, and verify subsystem functionality.

Applied Researchers develop advanced query understanding products using ML algorithms to interpret user behavior. Collaborate with researchers and engineers on cutting-edge technologies to solve complex e-commerce search challenges.