ABOUT THE TEAM Department: Markets  Reports to: Team Lead  Team Size: >5 Recruiter Name, E-mail: Cristiana Martins, cristiana.martins@zalando.de As a Team Lead Engineering, you will integrate data sources from all Zalando and enrich them via ETL and Data Science. You will create interfaces and reports for self service and be the bridge between tech and commercial teams. WHERE YOUR EXPERTISE IS NEEDED Lead a team of engineers with different backgrounds such as big data engineers, front end developers and ad-hoc consultants and grow tech mastery and best practices trough leadership and living our valuesExtend the team’s technology, which includes a move towards AWS and Data Science technologies and toolsDiscover new business use cases and data sources, accessing more than 100 data sources in our Data Lake and processing them for business critical applications.

Als Data Scientist im agil arbeitenden Team Retail Media übernimmst du die Verantwortung für die Entwicklung von Machine Learning Modellen für neue Kundenprofile und das Look-alike-Modeling Du entwickelst neue Ansätze zum Transfer Learning auf unterschiedlichen Feature Spaces Zusammen mit dem Team sorgst du dafür, dass die Machine Learning Modell production-ready sind und überwachst den Betrieb zusammen mit deinen Kollegen Durch explorative Datenanalysen unterstützt du die Bewertung neuer Ideen und sorgst für datengetriebene Entscheidungen Du arbeitest bei der Umsetzung der User Storys zusammen mit dem Team und unterstützt durch dein Fachwissen bei der Konkretisierung von User Stories Link: https://www.

Wir suchen einen Data Scientist der bereits mehrjährige Erfahrung in folgenden Bereichen gesammelt hat: Machine & Deep Learning (R, Python, Keras, TensorFlow, Scala, …)Recommender SystemsZeitreihenanalysenStatstik & PricingNLP/TextminingData Engineering (Spark, SQL, tidyR, numpy, pandas, …)Konzeption von daten-getriebenen Produkten & LösungenProjektmanagementfließend in Deutsch (min. C1) und Englisch (min. B2)In der Rolle als Senior verstärkst du das Team auch durch Weitergaben von Know-How,Erfahrung in Konzeption & strukturiertem ArbeitenProjektleitung & Kundenkontakt,stetige Weiterentwicklung durch Besuch von Fachkonferenzenund Nutzung von e-Learning Plattformen (zB datacamp) Link: https://www.

Ref. No. 2372 Your tasks Analysis of complex data, data preparation and development of prognostic models based on modern statistical methodsAdvancement of our innovative services through use of modern technologies in data analytics and Big DataIdentification of specific customer problemsConsolidation of data and analyses results as well as creation of appropriate visualization to conclude recommendations for actionCoordinating internal and external project partnersPlanning, prioritization and implementation of different project tasks according to the customer requirementsPreparation as well as holding customer presentationsYour skills

Rund 1.500 Mitarbeiter arbeiten bereits daran, für unsere Kunden den Traum vom Eigenheim zu erfüllen! Tragen auch Sie dazu bei – in einem kollegialen wie leistungsorientierten Umfeld, das Ihnen viel Raum für Ihre eigenen Ideen bietet. Erleben Sie bei uns Hochleistung und machen Sie das Zuhause der Baufinanzierung zu Ihrer beruflichen Heimat: beim wachstumsstärksten Finanzdienstleister in Deutschland als Data Scientist (m|w) an unserem Standort München Das erwartet Sie Als Visionär kombinieren Sie Daten-Expertise mit einer unternehmerischen Sichtweise und optimieren somit unsere Dienstleistung aus Kundensicht.

ABOUT THE TEAM Department: Zalon Data Reports to: Product Owner Zalon Data Team Size: >10 Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de Are you looking for a greenfield opportunity to build a cutting-edge data infrastructure (mostly) from scratch? We are ramping up our data infrastructure team for all of Zalon’s machine learning, analytics and business needs. WHERE YOUR EXPERTISE IS NEEDED Design and expand our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teamsAssemble and Data Tiering of large, complex data sets that meet functional/non-functional business requirementsSupport our Data Scientists by preparing easily consumable data sets to let them focus on Data Science instead of data cleansing and transformation as well as bringing their products into productionContribute in developing Zalon’s overall technical capabilities by working one-on-one with your data scientists and engineersWHAT WE’RE LOOKING FOR

ABOUT THE TEAM Department: Zalon Data Reports to: Product Owner Zalon Data Team Size: >10 Recruiter Name, E-mail: Rebecca Moore, rebecca.moore@zalando.de Are you looking for a greenfield opportunity to build a cutting-edge data infrastructure (mostly) from scratch? We are ramping up our data infrastructure team for all of Zalon’s machine learning, analytics and business needs. WHERE YOUR EXPERTISE IS NEEDED Design and expand our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teamsAssemble and Data Tiering of large, complex data sets that meet functional/non-functional business requirementsSupport our Data Scientists by preparing easily consumable data sets to let them focus on Data Science instead of data cleansing and transformation as well as bringing their products into productionContribute in developing Zalon’s overall technical capabilities by working one-on-one with your data scientists and engineersWHAT WE’RE LOOKING FOR

Opinary has one mission: We make opinions matter- on the web and in real life. Globally, people use our polling technology to share their opinion with one simple click. The instant visualization of opinion trends enables our users to engage in an open dialogue and to understand complex debates. By harnessing the latest advances in Machine Learning, NLP and a distributed systems design, our platform ensures that our content always stays relevant to the reader.

Do what you love: You will be creating experiments based on exploratory analysis with our data in order to extract knowledge.You will analyse data in order to confirm or disprove hypotheses by the product owners.You will be building statistical and machine learning models for prediction and segmentation and be responsible for designing and visualising metrics, constantly looking beyond the numbers.You will be monitoring key product metrics and analysing the reasons they change.

To strengthen our international team in Berlin, we are offering a full-time position as     Senior Data Engineer (m/f) Retailers face unique challenges - we support them with technology-led solutions.  Crealytics is a customer-centric organization: our data-driven, proprietary technology aids some of the world’s biggest eCommerce players (including Foot Locker, ASOS, and Urban Outfitters). Crealytics’ Product & Technology specialists are key to this. From design and engineering to data science, they work closely with our Digital Marketing and Business Intelligence teams.

To strengthen our international team in Berlin, we are offering a full-time position as     Engineering Manager, Data (m/f) Retailers face unique challenges - we support them with technology-led solutions.  Crealytics is a customer-centric organization: our data-driven, proprietary technology aids some of the world’s biggest eCommerce players (including Foot Locker, ASOS, and Harrods). Crealytics’ Product & Technology specialists are key to this. From design and engineering to data science, they work closely with our Digital Marketing and Business Intelligence teams.

Senior Berater und Data Scientist für Process Mining (w/m) in München Deine Mission: Du bist Data Scientist, Statistiker, Informatiker, Process Mining oder Machine Learning Experte und fasziniert von der Daten- und Prozessanalyse? Du kennst dich mit verschiedenen Process Mining Tools aus und hast sehr gute Kenntnisse in mindestens einer Data-Science nahen Programmiersprache, wie z.B. python, R oder SAS? Du bist bereits seit mehreren Jahren im wachsenden Datendschungel unterwegs? Dabei findest und etablierst du einfache und effiziente Wege diesen zu bändigen und für deine Kunden erlebbar zu machen.

Develop cutting edge Machine Learning applications 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. Forecasting is at the core of our commercial operation. Forecasting 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 fulfil customer demand.

You and your role We’re looking for a generally nice and smart person to join our development and research team in Berlin. You have an academic background in machine learning.You’ve implemented different algorithms yourself and know which toolboxes offer well written variants of them.You already know a bit about Natural Language Processing (NLP) or are quite keen on learning it.You know the difference between software developed as a tool for your research, and software developed for use in production by customers.

Knowledge for the world of tomorrow. We develop networks that power and heat our cities intelligently. And support NASA in their explorations of outer space. For these and many other future projects, we need smart thinkers who bring skill, creativity, and dedication to the table. People like you! Experienced researchers who boldly broaden horizons, true specialists, and clever minds who like to get to the bottom of things. In short, help us tackle the most exciting challenges and put into practice what really matters.

FlixBus – A place to enjoy work and have an impact To support our ambitious growth, we are now looking for Data Engineers (M/F/X) for our Network Planning Domain in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You will be part of a self-organized, cross-functional team owning the network planning web application and will hence directly contribute to the success of the core business.The mission of the team is to work on a tailor-made planning software, which enables the user to create high-quality schedules that are demand-oriented and cost-efficient.

ABOUT THE TEAM Department: Merchant Operations Reports to: Engineering Delivery Lead Team Size: <5 Recruiter Name, E-mail: Iulia Crai, iulia.crai@zalando.de As Data Engineer in the Merchant Operations team you will build the data warehouse for marketplace and processing big amounts of raw data. You work closely with key stakeholders in product, engineering and operations to form deep understanding of marketplace dynamics WHERE YOUR EXPERTISE IS NEEDED Own, design and organise all data flows from scratchInvolve product and engineering to integrate various sources of dataDevelop rigorous data science models to aggregate inconsistent real-time signals into strong predictors of market trendsAutomate and own the end-to-end process of modelling and data visualization.

ABOUT THE TEAM Department: Supply & Demand Reports to: VP Pricing & Forecasting Team Size: <10 Recruiter: Almog Greenberg, almog.greenberg@zalando.de As a Data Science Lead for Pricing & Forecasting, you will be responsible for the all data science aspects in some of Zalando’s most critical products. You will build first-class machine learning products that forecast the demand for the 300k+ items that we offer our customers. Using your excellent research skills, you will try to better predict our order cancellation rates and foresee our order return rates.

Develop Revolutionary Machine Learning Applications with us! We are a team of highly motivated software architects and mathematicians with diverse backgrounds – from machine learning, routing algorithms, and signal processing to compiler technology and mathematics. We combine our knowledge to advance CeleraOne’s machine learning models and applications every day. Job Description - Modelling industrial processes using advanced machine learning methods - Utilizing modern machine learning frameworks: Google TensorFlow, scikit-learn, pandas, and more

Opinary has one mission: We make opinions matter- on the web and in real life. Globally, people use our polling technology to share their opinion with one simple click. The instant visualization of opinion trends enables our users to engage in an open dialogue and to understand complex debates. By harnessing the latest advances in Machine Learning, NLP and a distributed systems design, our platform ensures that our content always stays relevant to the reader.