What you will do: Design, develop, drive: Help us build state of the art data pipelines and processing flows for implementing machine learning models that support our core business.Use your brain (a lot): Use your experience, hands-on and can-do attitudes to solve complex problems in one of the most prolific engineering teams in the vast startup hub of Berlin (1600+ releases in 2017).Raise the bar: Your personal skill set and solid experience bring direct impact to our teams.

Your day-to-day challenges: Working on one of the most innovative risk models in the fintech industryApplying statistical and machine learning techniques to predict various business outcomesData wrangling and building mathematical models for practical applicationsAutomating parts of our feature engineering pipelineResearching new methodologies to improve our model building pipelineClose co-operation with data engineering and business unitsYour skills Include: 3+ years of working experience in data science, machine learning or statisticsGood understanding of probability and statisticsSolid knowledge about data structures and algorithmsExpert knowledge in Python, specifically pandas and scikit-learnFamiliarity with standard ML techniques (e.

View job and apply on the corporate career site here. Tasks: Exploring, understanding, and implementing data processing and machine learning pipelines using state of the art tools and frameworksAssessing and improving the precision, performance, and scalability of data processing and machine learning pipelinesEnsuring and sustaining production quality through continuous deployment, evaluation, and refinementRequirements: Master’s degree in Computer Science, Mathematics, Statistics or related fieldAt least 2 years of experience building Machine Learning-based productsAt least 2 years of experience in Python developmentExperience developing data processing and machine learning pipelines in Python using scikit-learn or deep learning toolkitsAbility to write well-abstracted, reusable, production grade code componentsExcellent written and communication skills in EnglishView job and apply on the corporate career site here.

View job and apply on the corporate career site here. Tasks include: Push the frontiers of what is possible in the area of Machine Learning working with real dataExplore, understand, and implement most recent machine learning algorithms and approachesFulfill both functional and non-functional (availability, throughput, latency) requirementsCreate excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinementCommunicate the relevance of implemented systems and achieved results in a visual and consistent wayRequired skills & qualifications:

THE OPPORTUNITY Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand.