Relayr is the fastest growing and one of the most successful Industrial Internet of Things (IIoT) organizations. With 250+ employees and 5 years of company history we are successfully helping companies in industrial markets to navigate disruption and stay relevant. Our unique combination of applying world-class technology, powerful financial and insurance offerings, with dedicated professional services allows us to deliver guaranteed business outcomes to customers. Recently, through its subsidiary Hartford Steam Boiler (HSB), Munich Re has acquired 100 percent of relayr, valued at US$300 million.
ABOUT THE TEAM Department: Lounge Product Analytics Reports to: Product Analytics Lead Team Size: <5 Recruiter Name, E-mail: Simona, firstname.lastname@example.org You will be a Senior Digital Data Analyst in one of Zalando Lounge’s newest teams, working closely with our Product Managers. You will have end-to-end ownership of data: define tracking requirements, provide actionable insights, carry out A/B tests and dive deep into the results. You will guide more junior team members, and help to establish the processes which drive the life of the team.
ABOUT THE TEAM Department: Product Analytics Reports to: Lead Product Analyst Team Size:>5 Recruiter Name: Simona As a Product Analyst, you will be working in one of our product teams. You will participate in the development of new features used by millions of customers. Doing so, you will gain deep domain knowledge and become an expert. You will have end-to-end ownership of data: define tracking requirements, analyse large datasets to provide actionable insights, A/B test and dive deep into the results.
What you will do: Work closely with the B2B product management team to enable tracking of feature success metrics in the form of reports or dashboardsUnderstand the functionality of our B2B-facing platforms by reviewing product and technical requirementsConduct independent analyses to support the product management team with actionable merchant behavior insights by Provide queries on demand for different types of reportingPerform regular checks to ensure data integrityCreation of KPI based dashboards for understanding complex issues to enable strategic and operational decision-makingConsolidate and review existing reports to lift our reporting to a higher-level of information densityWhat you should bring:
We are looking for a Senior Backend Developer (f/m/d) who wants to join our existing development team in Frankfurt, Germany. Beyond the required skills and abilities, we are looking for an individual with a senior attitude and a passion for building awesome stuff, capable to take responsibility of the made decisions and the written code. What you’ll be doing Developing and owning the most critical parts of our systemWriting and optimizing code aiming for performance and scalabilityMaintaining applications written primarily in Ruby and GoCommunicating with other teams to find the best solutionDirectly participating in the decision-making process What you need
The Role Are you looking to influence the design and development of a consumer product that will touch millions of people? Are you a self-starter with a passion for both your work and the start-up adventure? Do you have exceptional skills in statistics and programming? Are you looking to play a foundational role at a very quickly-growing company? If yes, we should talk. We are looking for a Senior Machine Learning (ML) Software Engineer (m/f/d) to help us design and develop machine learning and deep learning systems.
Job Overview As a Software Architect focused on handling financial market data you will be responsible for defining a componentized, data-driven architecture for our data deliveries. You will be responsible for designing a set of reusable “plug and play” components that can be shared across multiple ETL pipelines to standardize components and accelerate the delivery. As an Architect, you will be assisting the Product Owners in defining priorities and provide technical leadership to the development teams.
RESPONSIBILITIES In this position, you will support the smooth operation of our planning systems for the BASF business unit Agricultural Solutions. You will actively participate in building a new service in the field of Operations and Planning.You will be responsible for maintaining, building and expanding our database structures in SAP APO and IBP.By checking information via various sources, you will make a major contribution to the completeness, consistency and accuracy of our data base.
RESPONSIBILITIES We are looking for a candidate to join our Agricultural Solutions Expert Services team and support us in data management for agricultural products. o You will be responsible for the administration and maintenance of our databases and will continue to develop them further. o In the process, you will stay in close contact with our internal and external partners from the various countries. o Furthermore, you will optimize the processes that apply in database management in order to drive the development of digital platforms in agriculture.
We are looking for the best Deep Learning & Computer Vision R&D Expert to join our well-funded and fast growing startup working on AI driven visual recognition software on embedded and edge devices. You will be responsible for designing and implementing Deep Learning models fitted to the specific use-cases we work on as part of a growing team of Deep Learning experts with 5+ years experience each, half of which hold a PhD in the field.
Your role You will be responsible to develop and implement a vision for our Data Science team and be the strategic and operational leader for the development of a growing team. You collaborate on an iterative design process and lead the data scientists in all the related topics. You will develop meaningful data models using Python and data mining/ML methods. You also concept, implement analytical models including creative designs for visualizing large amount of data/data sets.
Your tasks As (Senior) Software Engineer Java* in Machine Learning you are an integral part of our joint mission to build and run the smart solutions, which make deferred online payment as simple, secure and frictionless as possible for both shoppers and sellers in the growing European market. You are responsible for the development of machine learning pipelines and web services for real time fraud prevention and risk assessmentYou connect internal and external, real time data sources via APIsYou automate our machine learning pipelines as much as it is practical for our businessYou develop tools for improved manual review of fraud casesYou are an active part of our agile software development.
“If you hate it, automate it” is your motto? A smooth software is triggering pure happiness? Join us a Senior IT Operations Engineer at Ultra Tendency! The requirements: Note: Applicants must be nationals of a member State of the European UnionYou have experience with Cloudera or Hortonworks and already worked with some of these tools: Docker, Ansible, Kubernetes, Terraform, SaltStackYou have no problem with managing your infrastructure on the command line and use version control systems, like Git as well as ticket systems, like Jira or HP Service ManagerYou are driven by high quality standards and attention to detailYou are willing to travel to customers and work 1-2 days per week on-siteYou got very good oral and written skills in German and EnglishYou tasks
Big Data Developer If you love writing high quality code, Docker is your daily business or you know SPARK like the back of your hand we have just the right challenges for you! At Ultra Tendency you would: Make Big Data useful (build program code, test and deploy to various environments, design and optimize data processing algorithms for our customers)Support your development team with feature implementation and automate testing of data driven applicationsMake a difference by bring in new ideas to improve quality or development methodology of the development teamIdeally you have:
We are Verimi - The identity platform for Europe. We develop solutions for digital identity management. We are a joint venture of many international shareholders, including Allianz, Axel Springer, Bundesdruckerei, Daimler, Deutsche Bahn, Deutsche Bank, Deutsche Telekom, Giesecke & Devrient, Lufthansa, Samsung and Volkswagen. At our headquarters in Berlin-Kreuzberg we work with approximately 70 highly motivated employees. We want to offer a digitalized world without hurdles for users – where they can store their data once at Verimi and then use it again and again to log in and identify themselves online with just one click.
Responsibilities Development of state-of-the-art machine learning algorithms/workflows to support the analysis of digital pathology images Implement features in Definiens’ deep-learning ecosystemPlan and discuss architecture improvements with your Scrum TeamOptimize performance and quality of existing software componentsImplement automated tests to ensure high quality software applications (TDD principles) Qualifications & Skills Required: Degree in Computer Science or related field3+ years of experience developing software with PythonExperience using Git in a professional environmentUsed to writing automated tests and configuring CI pipelinesSolving image and data analysis problems using machine learningExperience with machine learning (e.
The world of esports is experiencing explosive growth and with that growth comes a wealth of opportunities. In a billion-dollar industry, where data is king, we at Bayes Esports Solutions have claimed our place as the newest leader in the market. With our cutting-edge technology-driven products, we solve real issues that esport organizers, teams and media companies are facing everyday backed up by our very own machine learning algorithms. Partnerships with some of the biggest names in the esports and betting industries put Bayes in a unique position that allows the team to make a real impact in this vibrant and exciting space.
Your Role: In close collaboration with the Management team you are responsible to develop and implement a vision for PAIR Finance’s data scienceYou are responsible for the strategic and operational leadership of Data Science, including technical and disciplinary leadership and development of a dedicated, growing teamYou collaborate on an iterative design process from a basic prototype to the first production version and act as technical lead for data scientists and as a go-to-person in data sience topics in the organisation (Product, Marketing, Commercial)You recognize and develop meaningful data models using Python, R or SAS and Data Mining & Machine Learning MethodsYou concept and implement analytical models in technical systems and simulate model applicationsYou find creative designs of the visualization of large amounts of data and complex data setsYou experiment with new technologies, methods and best practices to acquire new skills to grow the technical infrastructure necessary to scale data science and to find clever solutions to the unique challenges we will encounter along the wayOur Requirements:
Fresenius Medical Care - Zukunft lebenswert gestalten. Für Patienten. Weltweit. Jeden Tag. Mehr als vier Jahrzehnte Erfahrung in der Dialyse, zukunftsweisende Forschung, Weltmarktführer bei Dialysetherapien und Dialyseprodukten – dafür steht Fresenius Medical Care. freseniusmedicalcare.de (Senior) Expert (m/w/d) Business Intelligence / Data Warehouse Standort: Bad Homburg v.d.H. oder Heidelberg Die „IT German Market“ unterstützt die medizinischen Versorgungszentren in Deutschland und hat Zentralfunktionen in allen IT relevanten Bereichen. Zur Verstärkung des Teams suchen wir zum nächstmöglichen Zeitpunkt einen (Senior) Expert (m/w/d) Business Intelligence / Data Warehouse, der für das Design und die Implementierung einer kompletten Business Intelligence Landschaft innerhalb des deutschen Marktes zuständig ist.
APPLYING MACHINE LEARNING TO PROCESSES, NOT PEOPLE At Smart Steel Technologies, we are building a one-of-a-kind cross-disciplinary team, uniting the worlds of steel and machine learning. Our team has come together from a diverse set of academic and professional backgrounds: software development, computer science, mathematics, physics, and metallurgy. Our goal is to leverage this expertise through trust and cooperation. We want to foster an environment where team members have frequent opportunities to learn from each other in fields that they are not (yet) experts.