Your tasks:  Conception and development of Big Data / Analytics platformsSelection of suitable technologies for the implementation of Data Analytics Use CasesDevelopment, execution and scaling of data pipelines on cluster architecturesDesign and implementation of data modelsDeliver data to appropriate storage technologies for a variety of applications, including interactive dashboards and statistical analysis.Assessment of data quality and implementation of transformations for data cleansingSupport of the Data Science Team in the development of statistical modelsOperationalization of models and results of the Data Scientists in order to make them available for productive use or to automate them.

You will improve customer experience building data-driven services based on customer activities. What you achieve Customers and Swisscom are interacting through many channels, from shop to online, call to chat bots, letter to emails. How to improve customer experience and Swisscom processes? What are the patterns bringing to a purchase or successful support case? Is online channel attracting more customers? You will enable Swisscom to answer many other questions by providing insights about the customer journey, a cross channel collection of customer activities.

What’s next in music happens on SoundCloud first. As the world’s largest open audio platform, SoundCloud is powered by a connected community of creators, listeners and curators who share, discover and influence what’s new, now and next in music and audio. We’re looking for an experienced data engineer to join our Recommendations team. This cross-functional team is responsible for developing, testing and maintaining efficient pipelines and services that transform raw data into features aimed at helping users discover new music on SoundCloud.

POSITION SUMMARY BCG Gamma is seeking a Machine Learning Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of different machine learning disciplines, e.g. anomaly detection, payment fraud, fraud detection, search ranking, text/sentiment classification, spam detection and others. The position will involve taking these skills and applying them to some of the most exciting and massive data and analytics problems across multiple industries. We are looking for machine learning engineers to join the ML effort for our teams, building ML-based systems, tools, and services that serve as infrastructure for our internal and external clients.

Data is at the core of PriceHubble. We process a wide variety of data from multiple sources. As a data scientist, your mission will be to develop cutting edge valuation and forecasting systems for the real estate market. You will manipulate a wide range and variety of data, build new datasets, and identify patterns that eventually impact prices in the real estate market. You will then use specific machine learning approaches to design the best valuation and forecasting solutions.

To revolutionize the future of transportation, one has to go one step further and set standards today. Smart technologies which are strongly taking over driving tasks and providing improved safety and comfort are already in place in our commercial vehicles today. But our vision is that “We make transportation smart”. So, we need visionary thinkers and creative developers as well as experts in the fields of data engineering, machine learning, artificial intelligence, sensor technology and software development to achieve this vision.

About Nubank Berlin Nubank Berlin is a satellite engineering office dedicated to serving the horizontal engineering needs of Nubank in Brazil - the leading fintech in Latin America. In Brazil, since 2014 we have been actively servicing millions of clients with our mobile-controlled credit card product. With head office São Paulo and an engineering office in Berlin, Nubank has raised USD 330 million in investment rounds led by Sequoia Capital, Founders Fund, Tiger Global, Kaszek Ventures, Goldman Sachs, QED Investors and DST Global.

Data technology in gaming is at the forefront of innovation - we handle billions of data events per month - and you’re here to keep us at that level. By bringing your expertise to the table, you will help us identify software, infrastructure, and architecture to ensure that our Data Platform is always on the bleeding edge. You will work directly with the Data Platform Team and Embedded Data Users to ensure that our data is always available, trustworthy, and useful.

As a Senior Data Engineer within the ZMS Data team, you will take end to end ownership of our Data Management Platform. You are responsible to ingest new Data Sources, often in collaboration with our Data Science team. You will increase the processing speed and optimize the costs of our EMR clusters. You will choose emerging technologies and approaches to create high-performance data processing solutions that scale. You will challenge our status quo and help us define best practices for how we work by designing data-intensive applications.

Imagine a workplace which encourages you to take on responsibility and where your ideas will be heard and implemented. Imagine a fast paced environment where your performance makes the difference. This is TrustYou!We are looking for adventurers to join our smart and inspiring team!TrustYou creates summaries of hotel reviews, with the goal of being as useful, or more, than a summary written by humans. And it’s our data engineers that make this happen!

Blinkist offers the best selection of nonfiction knowledge, all in an app that makes it easy to fit learning into your life. Through audio and text explainers called Blinks, original podcasts and author-driven content, Blinkist is on a mission to help people turn ordinary moments into extraordinary learning opportunities—anytime, anywhere. Blinkist was created in 2012 right in the heart of Berlin. We’ve been selected as one of the Top 25 Startups in Germany by LinkedIn, and are amongst Berlin’s top 3 employers based on Glassdoor and Kununu ratings.

Your area of responsibility will focus entirely on Big Data and Analytics platforms:  Selection of technologies for the implementation of Data Analytics Use CasesFurther development and evolution of data pipelines on cluster architecturesVisualization of data for various application purposesAssessment of data quality and possible data cleansingOperationalization of models and results for use or automation.We start the Data Journey of our customers. You think your CV Journey fits to our needs? Find out: Completed degree in computer science, data science or equivalentAt least two years of professional experience as software engineer, software developer, data engineer or similarVery good knowledge of the programming language Scala or JavaProfound knowledge and experience in dealing with Hadoop ecosystemsVery good written and spoken German skillsAt least 50 % willingness to travelData is moving us!

Our team lead says: Data is one of the hubs between Online Marketing, Product, IT and Sales here at Bonial.com. New questions are raised every day that require good data sources and deep data processing to support critical business decisions and provide answers to different problems. Data collection enables us to create strong strategies, stay on top of trends, build better relationships with customers and users, and analyze new insights to great effect.

emetriq ist ein Anbieter für datengetriebene Online-Advertising-Lösungen und Teil der Deutschen Telekom AG. Wir bieten unseren Kunden innovative Lösungen auf Basis von komplett inhouse entwickelter, geballter Daten- und Technologie-kompetenz. Kurz gesagt: Wir sorgen dafür, dass Online-Werbung relevanter und präziser wird.  Wie Du uns helfen kannst: Du hilfst uns, in den Bereichen Machine Learning, Data Mining und Natural Language Processing nicht nur up-to-date zu sein, sondern auch vorauszudenken.Du bewegst Dich in unserem stetig wachsenden Datenpool und nutzt dabei Tools wie Jupyter, SQL und Python, um reproduzierbare, aussagekräftige Analysen zu erstellen und Reports aufzubereiten.

You’ll join the Performance Measurement Engineering team within Personalized Marketing, a team which builds advanced data products focused on measuring the performance of our marketing activities with a direct impact on millions of Euro spent. WHERE YOUR EXPERTISE IS NEEDED Implement and maintain sustainable, high-performance, growth-ready data-processing and data integration pipelines to measure the performance (Return on Investment) of our marketing activities. Find out how we do this here.Support our data scientists by preparing features for their models to let them focus on data science instead of data preparation and get insights into their work on our machine learning platform including AWS SageMakerCollaborate with our product managers on defining roadmaps and ideas to further develop our products.

Imagine a workplace which encourages you to take on responsibility and where your ideas will be heard and implemented. Imagine a fast paced environment where your performance makes the difference. This is TrustYou! We are looking for adventurers to join our smart and inspiring team! TrustYou creates summaries of hotel reviews, with the goal of being as useful, or more, than a summary written by humans. And it’s our data engineers that make this happen!

Within Zalando’s Digital Foundation unit you are going to work in the core of Zalando’s data infrastructure. Your work will focus on the implementation of the data transformation architecture that is going to become the backbone of the analytical data platform at Zalando. WHERE YOUR EXPERTISE IS NEEDED Work within Zalando’s central data team that is responsible for mission-critical services for the whole Zalando groupDesign and build the service that will serve analysts, data engineers and machine learning pipelines all over ZalandoBuild the Zalando Spark platformHelp migrate the existing data pipelines to the next levelWHAT WE’RE LOOKING FOR 

Your tasks: Conception and development of Big Data / Analytics platformsSelection of suitable technologies for the implementation of Data Analytics Use CasesDevelopment, execution and scaling of data pipelines on cluster architecturesDesign and implementation of data modelsDeliver data to appropriate storage technologies for a variety of applications, including interactive dashboards and statistical analysis.Assessment of data quality and implementation of transformations for data cleansingSupport of the Data Science Team in the development of statistical modelsOperationalization of models and results of the Data Scientists in order to make them available for productive use or to automate them.

Data is at the core of PriceHubble. We process a wide variety of data from multiple sources. As a data scientist, your mission will be to develop cutting edge valuation and forecasting systems for the real estate market. You will manipulate a wide range and variety of data, build new datasets, and identify patterns that eventually impact prices in the real estate market. You will then use specific machine learning approaches to design the best valuation and forecasting solutions.

The RoleAs a big data engineer, you will be responsible for developing solutions and implementing requirements around our large-scale data processing platform in the Amazon cloud.This includes writing automated loaders that ingest data from various sources, developing modules to enrich raw data with additional attributes and designing algorithms to connect millions of data points every weekIn addition, you will work on algorithms to derive insights from our data set and implement tools to ensure a frictionless delivery of data to our customers all around the globe.