34 Machine Learning jobs

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 Technologiekompetenz. Kurz gesagt: Wir sorgen dafür, dass Online-Werbung relevanter und präziser wird. emetriq ist vor allem ein Team von motivierten und cleveren Leuten, die sich nicht weniger vorgenommen haben, als den deutschen Online-Werbemarkt nachhaltig zu verändern, kollaborativer und fairer zu machen. Unser Kundenportfolio reicht von den Top10 AGOF-Vermarktern bis zu Online Big Playern. In unserem Hamburger Büro direkt am Hafen erwartet Dich neben einem spannenden Aufgabengebiet mit viel Eigenverantwortung und Raum für eigene Ideen, ein familiäres und dynamisches Team von ca. 75 Kolleginnen und Kollegen mit ausgeprägtem Teamgeist, flachen Hierarchien und jeder Menge Spaß. Klingt perfekt? Wir sind nicht perfekt. Wir machen Fehler und lernen dazu. Wir arbeiten mit Energie und Leidenschaft und entwickeln uns Schritt für Schritt weiter. Zur Unterstützung unseres Teams suchen wir   ab sofort   einen   Data Engineer (m/w) zur Festanstellung. Wie du uns helfen kannst: Du hilfst uns, bei der Neugestaltung und Weiterentwicklung unserer ML-Pipelines nicht nur up-to-date zu sein, sondern auch vorauszudenken und verwendest dafür Technologien wie Apache Spark. Du machst unsere Plattform leistungsfähiger und skalierbarer: Du kennst dich mit Cloud-Diensten (z.B. AWS) aus und wendest deine Erfahrungen auf unsere Plattform an. Du unterstützt uns dabei, unsere Produkte ausfallsicher, zuverlässig und performant zu halten, indem du test-driven programmierst und die Qualität unserer Software (Java, Scala, Python) durch Pairing, Code Reviews, Dokumentation und Clean Code hochhältst. Du arbeitest gerne mit Machine Learning, Data Mining oder Natural Language Processing und unterstützt uns dabei, entsprechende Algorithmen zu verbessern und produktiv einzusetzen. Du kannst dich tief in ein komplexes Problem eingraben und teilst deine Erkenntnisse gern mit dem Rest des Teams und trägst so aktiv zum Wissensaustausch im Team bei. Du willst in einem crossfunktionalen Team arbeiten und trägst mit deinem offenen Auftreten zur guten Stimmung und angenehmen Atmosphäre bei. Du beteiligst dich aktiv am unternehmerischen Leben und hilfst uns dabei, die agilen Prozesse weiterzuentwickeln und zu verbessern. Was du mitbringst: Wir wollen dir nicht vorgeben, ob oder was du studiert haben solltest oder wo du deine Berufserfahrung gesammelt hast. Wenn dir das beschriebene Aufgabenfeld und unser Umfeld zusagt und du denkst, dass du uns gut unterstützen kannst, dann melde dich bei uns. Und übrigens: Wir glauben an den Leitsatz „Hire for Attitude, Train for Skills“ – somit sind für uns Team-Fit und die richtige Einstellung wichtiger als so manch erlernbare Fertigkeit. Was wir bieten. Wir glauben an die Vereinbarkeit von Beruf und Privatleben – auch im dynamischen Online-Umfeld. Deshalb sind flexible Arbeitszeiten für uns selbstverständlich. Unser motiviertes Team arbeitet direkt an der Elbe, am Hamburger Hafen in einer tollen Atmosphäre. Dazu zählen Jobs, die Spaß machen, herausfordernde Tätigkeiten und ein hohes Maß an Teamwork. Zahlreiche gemeinsame Aktivitäten und tolles Equipment (wie z.B. Teamevents, Restaurant-Gutscheine, ein leistungsfähiger Mac, Kopfhörer, Kickertisch und Playstation) machen das Arbeiten noch attraktiver. Bei uns sind die Lernkurven steil und werden von passgenauen Entwicklungsmaßnahmen begleitet. Werde ein Teil von emetriq und gestalte die Erfolgsgeschichte unseres wachsenden Unternehmens aktiv mit. Haben wir dein Interesse geweckt? Uns reicht dein Xing-Profil – kontaktiere Lucille Bumann direkt bei   XING   oder schick uns deinen Link per Mail an:   jobs@emetriq.com .   Alternativ kannst du auch deine Bewerbungsunterlagen über unsere   Jobbörse senden.   Bei Fragen steht dir Lucille zur Seite.   Datenschutz wird bei uns großgeschrieben. Unsere Datenschutzhinweise findest du   hier   . Ansprechpartner Lucille Bumann +49 40/80813-7048 jobs@emetriq.com

Our Data Science team is responsible for turning data into services and products for XING. Around 25 Data scientists, architects and engineers work together to create highly scalable solutions that serve millions of users. We bring state-of-the-art algorithms into production by making use of technologies such as Hadoop (e.g. Hive, Spark), Akka, Kafka, Cassandra, elasticsearch, etc. Learn more about our team at: https://bit.ly/data-science-team   At the moment, we are working intensively on projects related to building advanced ranking models for our search and recommender systems and automating machine learning. Therefore, we are seeking a Data Scientist who helps with designing algorithms/models and implementing these algorithms/models into production services. If you want to get things done rather than sit in meetings, like helping others and learning from them, you will have fun in our team! A challenging task Solve challenging problems in the context of search, recommender systems and machine learning Perform analyses on massive amounts of data and build scalable machine learning models, ranking algorithms and help automating machine learning processes Develop new and enhance algorithms and services using technologies such as Scala, elasticsearch, and Hadoop technologies (e.g. Hive, MapReduce) A convincing background MSc or PhD in Computer Science or similar discipline Hands-on experience in analyzing large datasets (e.g. with SQL, Python, R, Hive, etc.) Theoretical and practical knowledge in information retrieval or machine learning Practical working experience in implementing (scalable) models and algorithms which process large datasets Programming skills, preferably in Scala, Java or Python Proficient English language skills (German is not required) An inspiring environment XING offers a dynamic environment. As well as flexible working hours, you’ll have an opportunity to unleash your skills and acquire new ones. We offer a wide range of training courses in addition to German, English and Spanish lessons, regular team and offsite events, and lots of fun. We also provide free drinks and organic fruit as well as a ProfiTicket public transport ticket, restaurant vouchers and travel insurance. And let’s not forget the smartphone or iPad that you can use privately. You’ll also be provided with a high-end Macbook Pro, and our offices have table football tables. If you’re feeling really sporty, we also have great gym deals, and various other benefits….

Our Data Science team is responsible for turning data into services and products for XING. Around 25 Data scientists, architects and engineers work together to create highly scalable solutions that serve millions of users. We bring state-of-the-art algorithms into production by making use of technologies such as Hadoop (e.g. Hive, Spark), Akka, Kafka, Cassandra, elasticsearch, etc. Learn more about our team at: https://bit.ly/data-science-team   At the moment, we are working intensively on projects related to text processing, building pipelines for automated machine learning and enhancing the value/utility of XING’s data. Therefore, we are seeking an experienced Data Engineer who helps with the design and development of scalable components related to entity detection, topic modeling, etc., contributes to building an infrastructure for automated machine learning and implements advanced algorithms in our delivery services that serve millions of requests per day. If you want to get things done rather than sit in meetings, like helping others and learning from them, you will have fun in our team! A challenging task Solve challenging problems in the context of real-time processing, machine learning, Big Data, distributed systems Write code for processing and analyzing large amounts of data and help designing new services and products Contribute to infrastructure components that help us enhancing data quality/utility and automating machine learning processes Implement scalable algorithms and services using technologies such as Scala, Akka, elasticsearch, Kafka, Cassandra and Hadoop technologies such as Hive, Spark or MapReduce A convincing background BSc or higher degree in Computer Science or similar disciplines Practical working experience in software engineering Experience in Scala or Java is a plus Some knowledge and experience in working with technologies such as Kafka, Cassandra, Elasticsearch, Akka, Kubernetes, etc. Interested in implementing scalable software that processes large datasets at high speed (e.g. with technologies from the Hadoop stack) Ideally, some experience in the domain of information retrieval, information extraction or machine learning Proficient English language skills (German is not required) An inspiring environment XING offers a dynamic environment. As well as flexible working hours, you’ll have an opportunity to unleash your skills and acquire new ones. We offer a wide range of training courses in addition to German, English and Spanish lessons, regular team and offsite events, and lots of fun. We also provide free drinks and organic fruit as well as a ProfiTicket public transport ticket, restaurant vouchers and travel insurance. And let’s not forget the smartphone or iPad that you can use privately. You’ll also be provided with a high-end Macbook Pro, and our offices have table football tables. If you’re feeling really sporty, we also have great gym deals, and various other benefits….

Identity is the key for trust and security at the heart of online transactions. IDnow is one of Europe’s fastest growing FinTechs using machine learning to build an effective Identity-as-a-Service platform that can verify in real time the identities of people from 65 different countries. We are backed by two leading venture capital investors as well as a consortium of well-known business angels. Founded in 2014, we already count a large and fast growing team of 300 colleagues from 35 different cultures. Clients are leading international companies such as Commerzbank, UBS, Sixt, Erste Bank and Telefonica Deutschland, many FinTechs like Fidor, N26 and auxmoney as well as many blockchain-based companies. Tasks Implementation of new functionality for (automatic) identity verification of persons Implementation of complex backend systems leveraging/interacting with machine learning components Enhancing scalability of platform Qualifications Several (at least 3-4) years of experience implementing Java code with Play! Framework, Spring and/or JavaEE Experience working within a DEV team using agile methodologies Good English skills, both speaking and writing, additional German skills are a plus We offer Employment in a strong, expanding company with experienced, motivated colleagues in the heart of Munich Work on state-of-the-art technologies in an exciting, innovative environment Modern hardware with set-up à la carte Modern architecture and technologies Start-up spirit: Flat hierarchies, relaxed and professional working atmosphere Our Technologies Backend: Play! Framework, Ebeans ORM, REST, SOA, WebRTC, MySQL Frontend: HTML 5, Ember, Angular Testing: JUnit, Mockito, Selenium Deployment/Tools: Git, Jenkins, Docker, Linux, Jira, Confluence Misc: Continuous Integration for dev, test and production environment We look forward to receiving your compelling application with a possible start date and salary expectations.  In case you have further questions, please feel free to contact Julia Neu at +49 89 413 24 6020

Identity is the key for trust and security at the heart of online transactions. IDnow is one of Europe’s fastest growing FinTechs using machine learning to build an effective Identity-as-a-Service platform that can verify in real time the identities of people from 65 different countries. We are backed by two leading venture capital investors as well as a consortium of well-known business angels. Founded in 2014, we already count a large and fast growing team of 300 colleagues from 35 different cultures. Clients are leading international companies such as Commerzbank, UBS, Sixt, Erste Bank and Telefonica Deutschland, many FinTechs like Fidor, N26 and smava as well as many blockchain-based companies. Tasks Implementation of systems for automatic identity verification, verification of authenticity of ID documents and OCR Preparation and automation of datasets Conception and design of algorithms for Computer Vision problems Implementation of training routines Preparation of algorithms for usage in the production environment as microservices Application areas are Image Classification, Image and Video Segmentation, Tracking and OCR Qualifications Completed university degree in Computer Science or related studies (e.g. Electrical Engineering) Several years of work or educational experience in Machine Learning, Computer Vision or Artificial Intelligence Strong programming background in Python as main language; C++ or Java as secondary language Experience in working with NumPy  Practical experiences with modern software tools for Machine Learning (PyTorch , TensorFlow, Theano, Keras) Solid understanding of Machine Learning and Statistical methods (e.g. Neural Networks, SVMs, Linear Regression) Solid understanding of Computer Vision topics (e.g. Conv-Nets, Optical Flow, Basic Image Processing) Strong mathematical background; ability to read & understand papers on that matter Good English skills, both speaking and writing, additional German skills are a plus We offer Employment in a strong, expanding company with experienced, motivated colleagues in the heart of Munich Work on state-of-the-art technologies in an exciting, innovative environment Modern hardware with set-up à la carte Modern architecture and technologies Start-up spirit: Flat hierarchies, relaxed and professional working atmosphere Our Technologies Frameworks: PyTorch, Tensorflow, NumPy, OpenCV Deployment: Git, Jenkins, Docker, Linux Tools: Jira, Confluence Misc: Continuous Integration for dev, test and production environment We look forward to receiving your compelling application with a possible start date and salary expectations.  In case you have further questions, please feel free to contact Julia Neu at +49 89 413 24 6020.

Wir glauben daran, dass Artificial Intelligence in Zukunft hinter allen Aktivitäten im Marketing stehen wird. Die Aufgabe des international aufgestellten AI-Teams bei Publicis Pixelpark hat eine klare Mission: Mit Hilfe von Analytics und Machine Learning Antworten auf Fragen zu liefern, die das Marketing effektiver und effizienter machen. Zur Verstärkung suchen wir einen Data Engineer (m/w), dessen Aufgabe darin besteht unser Team dabei zu unterstützen, Data Pipelines aufzubauen, Daten-Connectoren zu entwickeln und unterschiedliche Storage-Technologien zu nutzen. Deine Aufgaben Stetige Weiterentwicklung unserer Data Pipelines, die im wesentlichen auf Technologien wie Apache Spark und Kafka aufsetzen Entwicklung unterschiedlichster Connectoren zur Data Ingestion im Marketingkontext (Batch & Streaming) Nutzung und Betrieb unterschiedlichster Storage-Technologien wie z. B. Hadoop, S3, Redshift, MySQL, BigQuery Umsetzung von Projekten im Bereich Data Cleansing & Data Transformation Was du mitbringst Eine Leidenschaft für Daten und knifflige Aufgabenstellungen Den Willen, dich stets mit neuen Technologien und Tools auseinanderzusetzen Die Fähigkeit auch komplexe Sachverhalte aufs Wesentliche zu reduzieren und Dritten zu vermitteln Einschlägige Erfahrungen mit Storage-Technologien wie z. B. Hadoop, S3, Redshift, MySQL, BigQuery, Redis, DynamoDB usw. Praktische Erfahrung in der Entwicklung von Data Pipelines für Batch & Streaming Data mit Technologien wie Apache Spark, Kafka, Storm Hervorragende Kenntnisse entweder in Java, Python oder Scala  Ein abgeschlossenes Studium (Uni oder FH) Sehr gute Englisch-Kenntnisse Was wir dir bieten Zugang zu abwechslungsreichen Aufgabenstellungen aus unterschiedlichsten Branchen Einen "State of the Art"-Technologie-Stack sowie sehr umfangreiche spannende Datensets, mit denen du arbeiten kannst Zugang zu einem weltweiten Netzwerk an Experten im Bereich Analytics, Data Science und Artificial Intelligence innerhalb der Publicis Groupe Ein Team, das darauf brennt, mit dir gemeinsam Marketing ein Stück weit intelligenter zu machen

Wir sind das führende Chemieunternehmen der Welt, weil wir intelligente Lösungen bieten - für unsere Kunden und für eine nachhaltige Zukunft. Dazu vernetzen und fördern wir Menschen mit den unterschiedlichsten Talenten - weltweit. Das eröffnet Ihnen vielfältige Entwicklungschancen. Bei uns zählt Ihre Leistung ebenso wie Ihre Persönlichkeit, unabhängig von Alter, Herkunft, Geschlecht, sexueller Identität, Behinderung oder Weltanschauung. So werden aus Chancen Karrieren. Bei BASF. Ludwigshafen ist der weltweit größte Standort und Sitz der Konzernzentrale. Das Herz der BASF liegt gleichzeitig im Herzen der europäischen Metropolregion Rhein-Neckar. Hier erwartet Sie beruflich sowie in Ihrer Freizeit ein attraktives Umfeld. Mehr über die BASF SE erfahren Sie unter: http://on.basf.com/BASFSE Was Sie erwartet   Unser interdisziplinäres Team Digitalisierung treibt die digitale Transformation in verschiedenen Bereichen wie Produktion, Ver- und Entsorgung und Logistik voran. Wir setzen moderne Methoden aus angewandter Mathematik, Data Science, Informatik und Automatisierungstechnik ein. Dabei stehen vor allem Machine Learning (insbesondere Deep Learning), Big Data Analytics sowie modellbasierte Simulation & Optimierung im Fokus. Sie stehen an vorderster Front bei der digitalen Transformation der Prozessindustrie, z.B. bei der Entwicklung einer vollständig autonomen Anlage oder bei der Implementierung einer intelligenten Energieverbundsteuerung (Smart Grid). Sie evaluieren die Potentiale für Deep Learning in der Produktion gemeinsam mit internen und externen Partnern. Sie treiben in Projekten einheitsübergreifend und interdisziplinär mit Produktionsbetrieben die Digitalisierung voran und verbessern Prozesse und Produkte durch digitale Technologien und Lösungen. Die Schwerpunkte Ihrer Arbeit können Ihren Fähigkeiten und Interessen angepasst werden. Was wir erwarten   Wir suchen Kandidatinnen und Kandidaten, die Spaß an der Arbeit mit Daten und mathematischen/statistischen Modellen haben und hier umfassende Erfahrungen mitbringen. Sie haben einen überdurchschnittlichen Master in Statistik, Physik, angewandter Mathematik, Ingenieurswissenschaften, Informatik oder ähnlichem. Idealerweise haben sie ihren Abschluss um eine Promotion ergänzt. Sie beherrschen mindestens eine Programmiersprache z.B. R, Python, MATLAB, VBA, Java, JavaScript oder C/C++ und haben Erfahrung mit der Entwicklung komplexer Software. Erfahrungen im Bereich Regelungstechnik , Prozesssteuerung und Optimierung sind von Vorteil. Sie sind am digitalen Puls der Zeit und bereit, sich schnell und eigenverantwortlich in neue Themen einzuarbeiten. Mit Ihrer offenen, enthusiastischen und ergebnisorientierten Persönlichkeit tragen Sie zum Teamerfolg bei und kommunizieren sicher in Deutsch und Englisch. Wir bieten   Ein anspruchsvolles Aufgabengebiet mit hoher Eigenverantwortung. Ihre Einarbeitung erfolgt "on the job" in einem engagierten, kompetenten Team. Unterstützung unserer Mitarbeiterinnen und Mitarbeiter mit unterschiedlichen Maßnahmen bei der Vereinbarkeit von Beruf und Privatleben. Attraktive Vergütung einschließlich betrieblicher Sozialleistungen sowie hervorragende Entwicklungschancen in einem internationalen Unternehmen. Werden Sie Teil des besten Teams mit einem Netzwerk von mehr als 110.000 Mitarbeitern weltweit. Entdecken Sie Ihre Karriere bei BASF auf on.basf.com/meinekarriere.

We are the world's leading chemical company because we offer intelligent solutions for our customers and for a sustainable future. We connect and develop people with diverse talents all over the world. For you, this means a variety of ways to advance. Not only your performance but also your personality matter to us, without regard to gender, age, origin, sexual orientation, disability or belief. At BASF, careers develop from opportunities. Ludwigshafen is the world's largest integrated chemical complex and home to BASF Group headquarters. Located in the heart of Europe's Rhine-Neckar metropolitan region, you will find this to be an attractive place for both work and leisure time. Learn more about BASF SE at http://on.basf.com/Headquarters What you can expect   Join the Data Science community within BASF and shape the future of digitalization in Research and Development. You will work on exciting questions from a broad range of chemical and biological domains (e.g. batteries, catalysts, functional materials, agricultural or biological products as well as computer vision and image analysis) and diverse data types. You will work with a highly motivated international team of scientists and in projects with academic experts and commercial partners. You will apply advanced statistics and machine learning / AI for exploratory data analysis, predictive analytics, and/or optimization. You will implement smart algorithms and applications that support our researchers. You will have access to supercomputing resources and a diverse and interdisciplinary audience with whom you will communicate your findings. What we expect   You hold a PhD in a mathematical or scientific discipline with a strong focus on advanced statistics and machine learning / AI methods. Ideally you gained experience in projects using statistical software packages and programming languages like R, Python, or others. You have demonstrated that you can solve real world problems and support research activities with data analysis. Experience with one or more of the following is also advantageous: Design of Experiment, Active Learning, Image Recognition, Time Series Analysis and problems in the chemical domain. You bring agility, creativity, and entrepreneurial thinking into the team while feeling comfortable in a diverse, interdisciplinary, and challenging environment. We offer   Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team. Support of all employees by using different measures to ensure the balance of professional and private life. Competitive compensation including attractive benefits as well as excellent career opportunities in an international Company. Join the best team with more than 110,000 other minds to connect with globally. Explore your BASF career options at on.basf.com/mycareer.

We are the world's leading chemical company because we offer intelligent solutions for our customers and for a sustainable future. We connect and develop people with diverse talents all over the world. For you, this means a variety of ways to advance. Not only your performance but also your personality matter to us, without regard to gender, age, origin, sexual orientation, disability or belief. At BASF, careers develop from opportunities. Ludwigshafen is the world's largest integrated chemical complex and home to BASF Group headquarters. Located in the heart of Europe's Rhine-Neckar metropolitan region, you will find this to be an attractive place for both work and leisure time. Learn more about BASF SE at http://on.basf.com/Headquarters What you can expect   Join our Data Science community and shape the future of digitalization in Research and Development. If a system observes its environment and takes actions that maximize its chance of success at a given goal we call it Artificial Intelligence (AI). As AI expert, you will create such systems for multiple application areas in materials and systems research as well as process and quality control. You will evaluate new approaches and explore new applications for AI in BASF. You will initiate and execute AI projects in collaboration with research and business units in diverse high performing teams. In these project teams, you will define and develop novel AI solutions and liaise with academic experts and commercial providers. You will communicate and disseminate AI to a broad community of scientists and managers. What we expect   You have demonstrated that you can build AI systems based on machine learning technology by integrating advanced algorithms with interfaces for observation and action. In contrast to an isolated developer you appreciate and understand experts from all areas of Data Science, including IT, Data Analytics, Data Management, and Project Management. You have a strong background in science or engineering and preferably hold a PhD or equivalent qualification. You gained experience in multiple projects using different IT environments (e.g. Big Data systems like Hadoop and Spark; Machine Learning frameworks like TensorFlow; and programming languages like R or Python). You bring agility, creativity, and entrepreneurial thinking into the team while feeling comfortable in a diverse, interdisciplinary, and challenging environment. We offer   Responsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team. Support of all employees by using different measures to ensure the balance of professional and private life. Competitive compensation including attractive benefits as well as excellent career opportunities in an international Company. Join the best team with more than 110,000 other minds to connect with globally. Explore your BASF career options at on.basf.com/mycareer.

Wir suchen Sie als Senior Consultant zur Unterstützung in unseren Kundenprojekten – mit spannenden Herausforderungen, Mitgestaltungsmöglichkeiten und inspirierendem Umfeld. Ihre Aufgabe: Sie übernehmen das Projektmanagement und die Projektmitarbeit eines komplexen Data Science-Projektes. Sie entwickeln komplexe Datenanalysen sowohl strukturierter als auch unstrukturierter Datensets. Sie entwickeln statistische Algorithmen und verwenden dabei stets neueste mathematische sowie statistische Verfahren. Sie setzen innovative Data Architect-Technologien ein, um Konzepte zu verifizieren, Pilotprojekte und Prototypen zu entwickeln, sowie Ergebnisse zu interpretieren. Sie kommunizieren mit anderen Fachbereichen und präsentieren Ihre Ergebnisse und Empfehlungen an unsere Stakeholder. Ihr Profil: Sie verfügen über umfangreiche Erfahrungen im Umgang mit Data Science-Methoden und Techniken aus den Bereichen Data Mining, Machine Learning und Vorhersagemodelle. Sie haben gute Programmierkenntnisse und Kenntnisse in analytischen Programmiersprachen wie R, Python oder Matlab bzw. vergleichbare Technologien. Erfahrungen im Umgang mit Big Data Produkten wie Hadoop, Hive, oder Spark sind wünschenswert. Sie verfügen über verhandlungssichere Deutsch- und gute Englischkenntnisse. 2008 in Köln gegründet, agieren wir branchenunabhängig und deutschlandweit im Bereich der IT-Beratung – mit zusätzlichen Schwerpunkten auf den Bereichen IT-Security, Big Data und Telemedizin. Wir sind Versteher, Begleiter und Vorantreiber. Wir verknüpfen Neugier mit Tatendrang und bieten unseren Kunden intelligente Lösungen an. Wir sind zuverlässig in allem, was wir tun. Das freundliche und offene Arbeitsumfeld bestärken wir regelmäßig durch Unternehmensveranstaltungen auf unserer Dachterrasse, Technical Briefings und Weiterbildungsmaßnahmen in jedem Bereich. Gemeinsam arbeiten wir daran, an Mitarbeitern und Know-How zu wachsen, denn wir wissen, dass die Mitarbeiter unser höchstes Gut sind. Hierzu bringen Sie zusätzlich zu Ihrer Kommunikations- und Begeisterungsfähigkeit, Reisebereitschaft und Flexibilität für den Einsatz in unseren Kundenprojekten mit. Durch Ihre Mitarbeit in unseren Fachgruppen tragen Sie direkt zum Unternehmenserfolg und Ihrer persönlichen und fachlichen Entwicklung bei – so entwickelt sich ein Netzwerk von Kollegen, das von Teamgeist und gemeinsamen Zielen geprägt ist. Wir freuen uns auf Ihre Bewerbun

As part of the Engineering management team you will help shape the analytical future of an exciting and dynamic railway industry startup.  You are passionate about machine learning and AI and are able to oversee the transformation of complex highly technical models into production systems that are able to deliver customer value. You are able to interact with the other engineering team leads, from hardware, back-end, to front-end and help coordinate the data-science needed to deliver coherent data processing pipelines. From your interactions with product management you can see the big-picture and are able to drive the Data Science Team to develop the analytical insights needed to support the product in its current and future invocations. Your Responsibilities Lead the Data Science Team in scoping, designing, and implementing established and cutting-edge machine learning and advanced statistical models to build data science products that empower the railway industryProvide operational and strategic management to the Data Science Team Guide the Data Science Team in adoption and improvement of an environment that produces agile and measurable research Translate business requirements to data science problems and lead the team to deliver best in class solutions on startup timelines In collaboration with the Analytics Research Lead provide hands-on technical guidance to challenging data science problems faced by the team on a day-to-day basis Grow the Data Science team in Munich by hiring talented candidates and developing leadership and deep expertise in the team Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices Oversee major initiatives and, in conjunction with the Analytics Research Lead,  own the technical roadmap, always anticipating the future data and machine learning needs/opportunities of the business Establish research policies, standards, organization and governance Your Profile 5-10 years of relevant experience in a data science/analytics role, preferably in an entrepreneurial environment An experienced leader who has had accountability and authority over a company's data science resources Experience in recruiting, managing, training, and retaining a team of ambitious and highly skilled data scientists A leader who has the foresight and business context to provide the optimal data- science vision, strategy, and best practices for the company Ability to collaborate with all stakeholders inside of the company to ensure all parties are aligned and supportive of the project's priority, requirements, timeline, and objectives Advanced knowledge of mathematical/statistical/signal processing methods and tools Experience in applying data analysis techniques to large datasets using systems such as Hadoop, Spark, or other similar frameworks Advanced Experience with programming languages/environments such as C++, R, Python, Java, Scala, in Linux/Unix Demonstrable experience in the use of development and project management methodologies e.g. Agile and tools such as Jira Experience with web services such as AWS, DigitalOcean, Redshift, S3, and Spark Extremely flexible and adaptive to changing priorities Remain current on latest advancements in analytical trends, techniques, and tools Full working proficiency in English

At the moment we are not actively looking for Data Scientists, however, we are always open to growing our team with great talent. If you want to be a part of the KONUX Analytics Team, here you can find a general description of our current Data Scientist roles and their daily tasks. Our Data Scientists seek mathematical robustness in solutions, love to code, will get their hands dirty with large volumes of complex raw data from which they will seek to derive meaningful and actionable insights. They are self-motivated, self-directed, happy to learn and adapt quickly. They are also able to explore a wide range of statistical models and modelling techniques to understand and effectively break-down hard problems. KONUX scientists and engineers appreciate the difference between explaining and fitting statistical models, the importance of good metrics, and the tradeoff between exploration and exploitation. They can perceive common structure between superficially unrelated problems, and can use this to build tools and algorithms that drive the delivery of products which deliver customer value. Your Responsibilities Develop feature sets and insights into a wide range of data sources, including acceleration time series Design, simulate and test existing and new machine learning algorithms for real-time system state identification Convert models into a live system that can process and reach conclusions in real-time Build tools and infrastructure that contribute to a sensor data analysis ecosystem Select/design/adapt, optimize and implement machine learning algorithms on real-time platforms (resource constraints) Help bring-up and test algorithms on hardware systems, including the creation of system test plan Contribute to continuous improvements and optimizations on existing model Drive innovation and contribute to intellectual property Your Profile Ph.D. or MS in Engineering / Physics / Mathematics / Computer Science or a related field Experience in a data-driven environment Experience in database schema design Experience in building and testing machine learning models Proficiency in at least one compiled language (e.g., C, C++) and one scripting language (e.g., Python, R, MATLAB) Ability to understand and deliver in the presence of rapidly evolving product, customer, and business needs Autonomous and solution-oriented working methods Commitment to teamwork and communication of ideas, and a desire to be creative.

As a Data Engineer at KONUX you will be responsible for managing a large research data resource that is growing rapidly in both size and complexity. You will take pride in ensuring that the data science team has the best possible access to well-organized data sources. You will also act as an interface with our production team, ensuring alignment of model data requirements. You will, of course,  be automating data management processes and be responsible for data cleansing. Ideal candidates learn and adapt quickly and will be able to use every tool at their disposal to understand and effectively tackle hard problems. You will be working in a Linux environment. Your Responsibilities Ensure the consistency and quality of a wide range of raw data sets, including millions of time series recordings from the field Provide database support and management of research model input and output data, including preparation of schema Create functional specifications and schema for new and existing data management processes Manage the database infrastructure, including making it fit for purpose in function and performance Write interfaces to other systems for data gathering and data acquisition Develop data acquisition monitoring and accounting processes that alert users to missing data Automate the data cleansing and data pruning processes Assist with the development of the back-end (and design, and/or front-end too) for web-based data visualization applications Your Profile A degree in Computer Science, Engineering, or a related field 5+ years of database schema design and database management 5+ years of Linux management, bash scripting Proficiency in SQL and Python and working knowledge of UML, XML, JSON etc. Knowledge of different database technologies SQL, NoSQL, object-relational databases Ability to understand and deliver in a complex and rapidly evolving data and product environment Demonstrated examples of working with business partners to deliver a solution that meets project objectives (requirements generation, functional specification generation to project execution) Familiarity with the fundamentals of machine learning Strong interpersonal communications skills (verbal, presentation and written)  Autonomous and solution-oriented working methods Nice to have: Problem solving, and project management skills Able to work closely with others in collaborative environment An understanding of traditional business intelligence and data warehousing concepts (ETL, data modeling, and reporting) Teamwork, creativity and communication skills

At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit sector and inspire millions of energised home cooks across the globe every week. We offer our meal kit boxes full of exciting recipes and thoughtfully sourced, fresh ingredients in more than 10 countries, operating from offices in Berlin, New York City, Sydney, Toronto, London and Amsterdam. Our more than 4,000 employees are the heart and soul of our highly international, fast-paced, and dynamic environment where innovation and smart, fast action is encouraged. We want you to join us and help take HelloFresh to the next level - as a company in its growth phase this is a great time to join. Career and development opportunities are endless. We will encourage you to make an immediate impact in your area of work as well as empower you to grow your career with us.   About the job You will be able to solve complex problems using data science principles that are highly accurate, scalable and cost-effective You will use machine learning to build models that can address areas like user segmentation, churn, affinity, and conversion rates You present the results of your work in a clear manner to various stakeholders and proactively come up with ideas how to properly assess and improve performance You will be part of a dedicated Team of three analysts and will provide guidance on both technical and operative aspects   Who we’re looking for Masters in Statistics, Mathematics, Business Analytics, or similar quantitative discipline with 1 year of experience or a Bachelors with 3 years of experience. You have a deep understanding of numbers as well as a very strong business sense Experience in SQL, R, Python, or another scripting language; command line usage Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations What we offer The chance to have a serious impact on one of the fastest-growing technology companies in Europe in an exciting growth phase A vibrant, international environment A guaranteed steep learning curve & boost for your career Competitive compensation Sabbatical policy Benefit from our selection of employee perks (significant reduction on your HelloFresh boxes, discount on the HelloFresh GO vending machines, free German classes, Geek Friday, discounts for our neighboring Fitness Studio & Urban Sports Club, annual budget for training and development initiatives, weekly Yoga Classes, Summer & Winter Party) Are you up for a challenge? Please submit your complete application below including your earliest starting date. Unfortunately we are not sponsoring any work visas/permits for this position for non-EU applicants

Your Responsibilities: Working within the big data team to shape the future of automotive big data analytics Using the state of the art big data techniques, you will participate in design and development of automotive data driven solutions including, but not limited to, fleet monitoring, predictive maintenance and autonomous driving solutions Working closely with customers and partners (e.g., universities) to identify potential data driven business opportunities throughout collecting and analyzing customer data and developing rapid prototyping for proof of concept Working closely with technical experts from different application areas to deliver the AVL data driven solutions Your Profile: University degree in mathematics, physics or computer science 2+ years of experience with Big Data tools and technologies 2+ years of experience developing big data solutions using Java, Scala, R, python, Matlab, Spark and MapReduce 2+ year of experience building analytical models using statistics and machine learning Highly motivated individual with passion to push technology beyond existing technology High analytical and conceptual skills Communication and teamwork abilities Good English skills Personality is more than anything else! Interested? If so please contact us.

Your Responsibilities: Technical lead of the Big Data field to shape the future of automotive Big Data analytics Using the state of the art Big Data techniques, you will be responsible for delivery of data driven solutions including, but not limited to, fleet monitoring, predictive maintenance and autonomous driving solutions Close cooperation with sales team, customers and partners (e.g., universities, startups) to identify potential data driven business opportunities throughout collecting and analyzing of relevant data Close collaboration with technical experts from different domains to apply rapid prototyping for proof of concept as well as to develop the final AVL data driven solutions Your Profile: University degree in mathematics, physics or computer science5+ years of experience developing Big Data solutions using Java, Scala, R, Python, Matlab, Spark and MapReduce 5+ years of experience building analytical models using statistics and machine learning methods 3+ years of experience leading technical teams to deliver large scale projects Highly motivated individual with passion to push technology beyond existing technology High analytical and conceptual skills Communication and teamwork abilities Good English skills Personality is more than anything else! Interested? If so please contact us.