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Praktikant (m/w/d) Data Analytics at ING-DiBa AG (Frankfurt am Main, Germany)

Du hörst nie auf, neugierig zu sein, und willst jeden Tag dazulernen. Und das am liebsten von den Besten und mit den besten Aussichten. Du suchst die Herausforderung und möchtest endlich die Theorie Deines Studiums in die Praxis umsetzen. Beste Voraussetzungen, um als Praktikantin oder Praktikant bei uns richtig durchzustarten. Jump on. Deine Aufgaben: Damit wir unsere Services künftig noch individueller gestalten können, dreht sich im Tribe „Customer Interaction“ alles darum, die Wünsche & Vorstellungen unserer Kunden zu antizipieren.

Business Analyst - People Operational Excellence at N26 (Berlin, Germany)

YOU and N26 We are looking for a Business Analyst to join us in our Berlin office to join the newly formed People Operational Excellence (POE) team.  Within POE data is the foundation for assessing the health of the organization, influencing change and advocating for growth. Do you like telling stories with data? Do you find yourself looking at data trends for new ways to drive efficiency? Do you like working on puzzles and using technology to solve problems and improve productivity?

Data Engineer at TrustYou (München, Germany)

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!

Hackers wanted - Software Engineers (m/f/d) & Machine Learning Experts (m/f/d) at technologies gmbh (Hamburg, Deutschland)

About our company:’s software engineers have been building large-scale software systems since 1999. We are internet pioneers and we have delivered hundreds of projects for our customers that are used by millions of users with thousands of requests per second since then. In the last two decades we have been constantly reinventing and improving ourselves. Self-Improvement and learning are deeply ingrained into our company’s DNA and in the personality of all of our team members.

Data Scientist (m/f/d) at relayr GmbH (München, Germany)

Relayr is one of the fastest growing and most successful industrial internet of things (IIoT) organizations. With around 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.

Senior Digital Data Analyst at Zalando SE (Berlin, Germany)

ABOUT THE TEAM Department: Lounge Product Analytics Reports to: Product Analytics Lead Team Size: <5 Recruiter Name, E-mail: Simona, 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.

Product Analyst at Zalando SE (Berlin, Germany)

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.

Senior Machine Learning Software Engineer (m/f/d) at Quoori GmbH (Hamburg, Germany)

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.

Technical Lead Software Architect (m/f/d) Financial Market Data at Solactive AG (Frankfurt am Main, Deutschland)

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.

Data Specialist Operations & Planning - SQL / Cloud (m/f/d) at BASF (Berlin, Germany)

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.

Senior Deep Learning Expert at Nomitri GmbH (Berlin, Germany)

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.

Senior Data Scientist (m/w/d) Medical Devices at Fresenius SE & Co. KGaA (Berlin, Germany)

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. Senior Data Scientist (m/w/d) Medical Devices  Zukunft lebenswert gestalten: Für Patienten. Weltweit. Jeden Tag. Rund 3,2 Millionen Menschen weltweit leiden unter chronischem Nierenversagen und sind auf ihre lebensnotwendige Dialysebehandlung angewiesen. Innerhalb Global Research & Development (GRD) entwickeln wir innovative Produkte und Therapien für diese Menschen.

(Senior) Expert (m/w/d) Business Intelligence / Data Warehouse at Fresenius SE & Co. KGaA (Bad Homburg, Germany)

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. (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.

(Senior) Software Engineer Java* in Machine Learning, Berlin at RatePAY GmbH (Berlin, Deutschland)

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.

Software Engineer Python/Machine Learning (m/f/d) at Definiens (München, Germany)

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.

Data Engineer (m/f/d) Bewerbung hinzufügen at MOIA GmbH (Berlin, Deutschland)

Join us as a Data Engineer (m/f/d) in our cross-functional data insights team MOIA is an innovative mobility company that will change people’s lives by re-imagining urban mobility. MOIA will create services that enable more people to move more freely and securely, ultimately making cities better places to live. We will free up the movement of people and goods within cities whilst making mobility accessible to everyone. That means we will:

Lead Data Architect at AUTO1 (Berlin, Germany)

Company Description AUTO1 Group is Europe’s leading car trading platform which connects the automotive industry through technology. We lead business activities in more than 30 European countries and enable dealers and consumers to trade seamlessly via our brands, and Autohero. Job Description Your mission statement: Lead our data platform and teams to maturity and ensure correct, complete and reliable flow of data to internal systems and data consumers What you’ll do

Big Data Systems Engineer (m/w/d) at inovex GmbH (München, Deutschland)

Was dich bei uns erwartet:  Als Big Data Systems Engineer bist du bei unseren Kunden für die Konzeption, Installation und Konfiguration der Linux- und Cloud-basierten Big-Data-Lösungen verantwortlich. Ebenfalls zu deinen Aufgaben gehören die Bewertung bestehender Big-Data-Systeme und die zukunftssichere Erweiterung bestehender Umgebungen. Du kümmerst dich dabei ganzheitlich um die Systeme und betreust diese vom Linux-Betriebssystem/Cloud-Service bis zum Big Data Stack. Für die Bereitstellung der oftmals komplexen Big-Data-Umgebungen setzt du bevorzugt auf “Infrastructure as Code”.

Senior Python Developer (Data Engineering) (d/f/m) at Bayes Esports Solutions GmbH (Berlin, Deutschland)

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.

Python Backend Developer (m/f/d) - Industrial Data Science and Software at Smart Steel Technologies GmbH (Berlin, Germany)

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.