196 germany English-speaking jobs in Brandenburg

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 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 Operations Research Scientist will design and implement optimization systems for a global delivery platform. Responsibilities include developing and deploying large-scale optimization models using techniques like MIP, constraint programming, and metaheuristics. Requires expertise in Python, optimization modeling, and software development best practices. Experience in logistics and last-mile delivery is beneficial.

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, mathematically consistent, 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, mathematically consistent, 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, mathematically consistent, 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 experience in Machine Learning, Python, and cloud services is 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 experience in Machine Learning, Python, and cloud services is 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 experience in Machine Learning, Python, and cloud services is 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 experience in Machine Learning, Python, and cloud services is 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 experience in Machine Learning, Python, and cloud services is required.

Lead the architectural direction and execution of sophisticated Android features, ensuring scalability and production readiness. Engineer resilient solutions for complex challenges within Android constraints. Mentor fellow engineers and foster a culture of collaborative knowledge exchange.

Lead the architectural direction and execution of sophisticated Android features, ensuring scalability and production readiness. Engineer resilient solutions for complex challenges within Android constraints. Mentor fellow engineers and foster a culture of collaborative knowledge exchange.

Lead the architectural direction and execution of sophisticated Android features, ensuring scalability and production readiness. Engineer resilient solutions for complex challenges within Android constraints. Mentor fellow engineers and foster a culture of collaborative knowledge exchange.

Lead the architectural direction and execution of sophisticated Android features, ensuring scalability and production readiness. Engineer resilient solutions for complex challenges within Android constraints. Mentor fellow engineers and foster a culture of collaborative knowledge exchange.

Senior Operations Research Scientist will design and implement optimization systems for a global delivery platform. Responsibilities include developing and deploying large-scale optimization models using techniques like MIP, constraint programming, and metaheuristics. Requires expertise in Python, optimization modeling, and software development best practices. Experience in logistics and last-mile delivery is beneficial.

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 experience in Machine Learning, Python, and cloud services is required.

Senior Operations Research Scientist to design and implement optimization systems for a global delivery platform. Develop robust models using techniques like MIP, constraint programming, and stochastic programming. Extensive Python experience and strong software development best practices 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 complex logistics problems into modeling strategies and own the data science roadmap for the vertical.