52 Machine Learning jobs

Wir glauben daran, dass die Zukunft denen gehört, die Innovation antreiben, die Wandel gestalten und die durch Zusammenarbeit vernetzen. Darum verbindet Modis die Schlüsseltechnologien IT, Engineering und Life Sciences, um gemeinsam mit unseren Kunden die Lösungen der Zukunft zu entwickeln. Wir bringen auf der ganzen Welt Top-Unternehmen mit den klügsten Köpfen in der IT zusammen. Sie alle brennen dafür, ihre Talente für die herausforderndsten Aufgaben von heute und morgen einzusetzen. Du auch? Dann suchen wir Dich für eine befristete Mitarbeit an einem Projekt unseres Kunden. Deine Aufgaben: Beratung zum Thema Recommendations, Problem Space und Lösungen enumerieren Danach: Verifizierung aktueller Ansätze, Bau eines ersten Modells in Produktion, langfristige Beratung thematisch, sowie Hilfe bei Aufstellung eines festen Teams. Deine Erfahrung: Sehr gut in Python Mischung von Data Scientist und Engineer Deine Skills: Sehr guter Kommunikator, schnell im Kopf High-level Beratung Schnelles, iteratives Arbeiten Gewünschte Skills: Pytorch TensorFlow Fast.AI Spark MLLib Erfahrungen mit Collaborative Filtering und Content Based Recommendation Für uns beginnt der gemeinsame Weg damit, Deine Ambitionen zu verstehen. Zusammen arbeiten wir daran, Dich an Dein berufliches Ziel zu bringen - indem wir in Deine berufliche Entwicklung und Mentoring investieren und Dich während Deiner gesamten Karriere coachen. Bei Modis arbeitest Du für eine dynamische, global ausgerichtete Marke, die in einem Schlüsselmarkt ambitionierte Ziele verfolgt. Unsere Zugehörigkeit zur Adecco Gruppe ermöglicht Dir vielfältige Wege. Du kannst es kaum erwarten, uns kennenzulernen? Dann klick' für den direkten Weg zu uns auf den Button "JETZT BEWERBEN"

Klarna’s mission is to free people from all the meaningless time spent managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do.  Klarna was born in Stockholm in 2005 and today has 2000 employees working across Europe and the US. We currently serve 60 million consumers, work together with 90,000 merchants and process more than a million payment transactions a day. We are growing at 40% year on year and our investors include Visa, Atomico, Sequoia Capital, Permira and Bestseller group/ Anders Holsch Povlsen. We have strong partnerships with some of the world’s leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify.  To find out more about what it's like to work at Klarna:  klarna.com/careers Klarna strives to become the world’s favourite way to buy, and you can contribute to reaching this goal! We are looking to hire great people, who are passionate about using their talents to generate success. Data science is no exception! We are currently looking to grow our Data Science teams to satisfy the company’s ever increasing need for complex problem solving and data driven decision making. What you will do Data science at Klarna delivers value in several areas in the organisation. However, there is of course one thing in common for all of them - they consist of highly driven people with a combination of analytical skills and a great team spirit! Use machine learning to solve problems Work with SQL,R and or Python Analyse data with the end goal of detecting trends and make recommendations Design and implement strategies in a rapidly evolving industry Pro-actively and effectively communicate with various stakeholders, discussing the root cause of trends, assessing their impact and propose solutions/optimisations Support wider business objectives by providing analytical expertise on new products and system developments and collaborating closely with Commercial, Product, Engineering and other teams where relevant Develop as a professional in an entrepreneurial organisation that provides opportunity to work with your areas of interest Be involved in the whole process of model development. This includes everything from root cause analysis, data-mining and feature engineering to training, validating and implementing machine learning models, computing performance statistics and conducting A/B-tests Work closely with several engineering teams and business analysts to find new smart ways of consolidating data and making use of it in order to make better models and ultimately better predictions. Who you are Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment. You will play an important role in taking Klarna to the next level thus, you should desire to go above and beyond to produce best work results! At Klarna we embrace change, you should dare to challenge the status quo and be persistent. You should have A degree from a university in a highly technically numerate subject (e.g. Maths, Physics, Engineering or Economics) Applicable work experience Working proficiency and communication skills in verbal and written English. You might also have Successfully worked with large datasets to deliver business value Built and implemented machine learning models Strong conceptual ability Strong Data extraction and manipulation skills Some good coding skills (R, Python, C++ etc.) How to apply Send over a CV in English. We can offer you an international working environment filled with smart and ambitious colleagues. We know that diverse teams are strong teams, so we welcome those from different backgrounds and experiences. As part of one of Europe’s fastest growing companies, you'll help play an important role in taking Klarna to the next level.

Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe’s number one space enterprise and the world’s second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary – on the ground, in the sky and in space. Description of the job Für Airbus Defence and Space in Friedrichshafen suchen wir für den Bereich „Check-out Systems“ in der Abteilung „TESCG – FVI & Space Physics G" einen Development Engineer SW (w/m/d) - BIG DATA – Data Scientist/Analyst (d/m/w). Tasks & accountabilities Innerhalb der Organisation Space System Engineering ist der Geschäftsbereich Checkout Systems transnational für die Lieferung von Soft und Hardwaresystemen und Subsystemen (Prüfstände, Simulation, Datenbankumgebung, Datenmanagement im Orbit, Datenanalyse, digitale Kontinuität) verantwortlich. Um die Raumfahrtsystemtechnik von der Phase der Vorstudien bis zur Phase der Unterstützung von Satelliten & On-Ground-Systemen im Orbit zu unterstützen. Wir befinden uns in einer Wachstumsphase, da unser Leistungsspektrum sehr stark mit der digitalen Transformation von Engineering-Prozessen und -Methoden verbunden ist. Sie sind in der Lage sich in verschiedene technische Bereichen zu interagieren, um deren zugrunde liegenden Prozess zu verstehen Erarbeitung von mathematischen Lösungen Erarbeitung von Datenanalyselösungen durch die Entwicklung von Software Ihre Hauptaufgaben und Verantwortlichkeiten sind: Identifizierung und Verständnis der technischen Anwendungsfälle, die von Big Data-Technologien unterstützt werden sollen. Beschreibung neuer Datensätze, den Sie für effiziente Lösungen benötigen. Aufbau von Big Data, in kosteneffizienter Weise Schnelles Prototyping von Datenvisualisierungsanwendungen   Unterstützung der Anwender bei der Analyse der Ergebnisse, mit dem Ziel der Effizienzsteigerung Ergänzend zu dieser Tätigkeit werden Sie einem technischen Bereich zugeordnet, um operative End-to-End-Lösungen zu entwickeln und diese unseren Hauptakteuren bekannt gemacht. Die Bereitschaft für Dienstreisen setzen wir voraus. Für diese Stelle ist ein hohes Maß an Sensibilität bezüglich möglicher Compliance Risiken erforderlich. Integrität ist die Basis für den Erfolg, die Reputation und das nachhaltige Wachstums unseres Unternehmens Required skills Abgeschlossenes Hochschulstudium im Bereich System Engineering, SW Engineering, Functional Engineering, Mechanical /Thermal Engineering, Space Physics oder vergleichbare Qualifikation Sie verfügen über fundierte Kenntnisse in der deskriptiven Statistik (Clustering, Dimensionsreduktion, Verteilungsanpassung) und der Inferential-/Prädiktivstatistik (Machine Learning wie Neuronale Netze, SVM, Random-Forest) und wissen, wie man neue Datensätze schnell beschreibt.   Beherrschung digitaler Konzepte wie Digital Continuity, Data Analytics, Cloud, Data Lake/Artificial Intelligence   Sie haben Erfahrung in komplexen IT-Umgebungen (Remote Hadoop/Spark Cluster, Multiple Language Interfacing) und haben erste Erfahrungen in einem Web Development Framework (R/Shiny, Python/Bokeh), um schnell webbasierte Datenvisualisierungsanwendungen um Daten und Algorithmen zu prototypisieren. Kenntnisse im Bereich AGILE-Prozess, GIT-Versioning, sowie Test- und Dokumentationsframework Sie werden in operativen Forschungsmethoden (Graphentheorie, numerische Optimierung, Surrogatmodellierung) geschult, um Herausforderungen jenseits der Datenanalyse zu bewältigen, auch mit pragmatischen Lösungen (Spline-Modellierung, Dichotomieoptimierung). Sie sind neugierig und aufgeschlossen und verfügen über eine eigenständige Arbeitsweise.

Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly. Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore. Job Description The Big Data Developer works on our SaaS platform, and  brings passionate inquisitiveness, primary research, and forward thinking to every assignment .   Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Developer builds  software to pass automated acceptance tests and to deliver sprint commitments .   You can expect a very international team of Developers who are based in Hamburg. As part of our self-organizing Scrum teams you'd be structuring 2-weeks-sprints following iterative methods. Our team sizes vary between 4 and 7 Developers. The hierarchies are set efficiently and the management style can be called hands-off; in other words, you are trusted to manage your own work. Key responsibilities: Design, develop, deliver   and   operate scalable, high-performance, real-time data processing software. Work proactively on the system architecture. Participate in the evaluation and selection of right technologies.  Support the business and product stakeholders by developing new and innovative data driven products. Interact with UI/UX Engineer to develop innovative ways to visualize huge amounts of data. Collaboration with the product management team to incorporate the needs of our customers. Qualifications Several years of experience in big data technologies and tools. You enjoy operating your applications in production and strive to make on-calls obsolete. Bachelor degree in Computer Science or equivalent. Hands-on experience with one of the following technologies: Spark, Kafka, Druid, NoSQL-Databases. Familiarity with the AWS-Stack of advantage. Profound experience in programming with Java, Scala or a similar programming language. Knowledge and experience in statistics methods, machine learning and AI. Experience with relational database systems. Additional Information Perks of being a Smaatie Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate! Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities. Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options. The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent. A Buddy-Program offers new employees from abroad assistance for their start in a new country.

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 someone to join our search team as an embedded Data Scientist. You will be a member of a diverse and skilled group of Data Scientists that operate across the organisation in product teams, business intelligence and analytics. As a Senior Data Scientist on search, you will take the lead on refining the search experience using your expertise in information retrieval and machine learning. Our Data Scientists work on a wide range of products and problems, embedded with engineering teams having direct impact on our millions of daily active users. We want people that come equipped with an open mind, creativity and a get-it-done attitude. About the role In this role you will be responsible for leading the efforts to build data products and internal solutions for some of the hardest problems in search. You will see projects through from start to finish performing research, prototyping solutions, production deployment at scale and A/B testing to validate your solutions. We love specialists with deep experience, and we expect to use that experience alongside a Data Scientist’s ability to be general and tackle a wide range of problem areas. Some projects you might work on include: Build and evaluate ranking models to improve the search experience of our users; Analyse user journeys and derive success metrics to support product decisions; Applying natural language processing (NLP) techniques to search queries to better understand user-intent and misspellings; About You You are a Senior Data Scientist with a curious analytical mindset, experience with software engineering, and a track record of shipping search solutions at large scale. You have a broad toolkit that spans languages and runtimes, and you can get up-to-speed with new tech stacks quickly. You enjoy working cross-functional with Engineers, Product Managers and peer Data Scientists. You have: A Ph.D. or M.Sc. in a relevant field such as computer science or machine learning (preferred but not required) A minimum of 5 years of experience in a full-time industry position (not academic) A deep understanding of the lifecycle of a Data Science project, with experience in research, solution development, tuning and inspecting models, etc. Experience with Scala, Python or similar languages that are used to ship production models and systems Experience wrangling very large datasets by writing and maintaining data processing pipelines with Hadoop, Spark, BigQuery, Redshift, or similar An ability to tell a story about data, to explore and reveal patterns, and to communicate to stakeholders about your discoveries and hypothesis Worked in cross-functional teams and are able to work in multiple parts of a tech stack Diversity at SoundCloud SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us build a social platform and global community where anyone can create, discover, and share sounds. We acknowledge the challenges in our industry, and strive to develop an inclusive culture where everyone can contribute.

Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly. Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore. Job Description The Data Scientist at Smaato is an experienced builder of intelligent systems as well as cloud based machine learning solutions. How? Our cutting edge platform is processing an average of 6 billion inbound advertising queries per day. Each incoming request generates multiple outbound requests to our partners. With your inquisitiveness, and primary data research, you get to process these vast amount of data, and create comprehensive stories around your results. Besides developing cloud-based solutions to user-story based requirements you will mentor junior developers and build software to pass automated acceptance tests. Key responsibilities: Support the business and product stakeholders by developing machine learning algorithms You will design, develop and deliver scalable, high-performance and real-time data processing and analysis software Evaluate and select the right technologies to build scalable solutions for our clients in the Ad-Tech industry Solve complex problems by identifying and optimizing relevant KPIs from a multitude of data You’ll work on the system architecture and interact with the UI Engineers to innovate vizualisations of vast data labyrinths In our agile environment you will cooperate with the product management team and business stakeholders Conduct ad-hoc analysis using Databricks Notebooks We trust you to share responsibility for all team deliverables Qualifications Solid work experience in statistics, AI, and developing productive machine learning-based solutions Master Degree or equivalent experience in a quantitative field (Computer Science, Statistics, Engineering, Artificial Intelligence, etc.) Deep understanding of data technologies and tools You are familiar with Spark and cloud-based AWS services Over the past years you gained experience in programming with JVM languages and Python, relational and NoSQL databases like MySQL, Postgres, and Vertica Familiarity with the online- or mobile advertising business counts as strong plus You hold a valid work permit for the German market Additional Information Perks of being a Smaatie Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate! Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities. Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options. The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent. A Buddy-Program offers new employees from abroad assistance for their start in a new country.

Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe’s number one space enterprise and the world’s second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary – on the ground, in the sky and in space. Description of the job A vacancy for a Big Data Engineer (m/f) has arisen within Airbus Defence and Space in Manching. The successful applicant will join “Support System Engineering”. Tasks & accountabilities Your main tasks and responsibilities will include: Data exploration Includes searching, selecting and filtering records: Browse, recognize / suggest important attributes and identify frequently used attributes, determine data origin, recognize common patterns Data modeling / structuring Providing data sets for maschine data models and logical data structures and discover relationships between data source attributes, Apply data mining techniques, perform statistical analyses and use machine learning techniques to integrate analyses into existing solutions and business processes Assistance in aligning the technical and functional evolution of the Airbus Big Data platform Data products Development and implementation of data visualization of data results Support in the implementation of proof-of-concept and projects within the Eurofighter community Pioneering role Promoting new working methods and new data governance models Presenting the results to different target groups; from engineers to managers Sharing and exchanging data sources and data sets This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Required skills Bachelor or higher degree in computer science, mathematics or equivalent engineering (MS or PhD preferred) Experience with data integration, quality and management to combine independent sources to achieve a more complete view Knowledge of statistical analysis (e.g. mean, standard deviation, correlations, etc.) Strong analytical skills Experience in data manipulation, data cleansing and feature engineering, Programming knowledge in one or more of the following languages: R, Python, Java, Matlab or similar Knowledge about machine learning, data mining, statistical analysis and modelling Knowledge of visualization tools (such as RShiny, Spotfire, Tableau, etc.) Basic knowledge of Hadoop infrastructure (e.g. HDFS, Spark) Solid experience with SQL technologies (SQL Server, MySQL, Oracle, SAP, BW), NoSQL databases (HBase, MongoDB, ArangoDB, Cassandra), ETL concepts and tools Persuasiveness in presentations and ability to present convincing and clear concepts Persistence in solving problems, assuming responsibility until the problem is solved Learning flexibility, curiosity and creativity and innovative "out of the box" thinking Good communication skills, both written and oral Experience in leading workshops to find requirements and find solutions Teamplayer: collaborative thinking and working methods Fluent in German and English

For our partner, a globally acting automobile manufacturer, we are looking for an experienced expert (m / w / d) Data Science in permanent employment for the location Braunschweig, who optimizes the in-house processes by the use of innovative data analytics procedures and contributes to the support of the marketing. Your tasks Analysis of customer, vehicle, product, transaction and web data from the corporate environment Generation of new insights through the development of forecasting models and the application of further data mining and machine learning methods Using the knowledge gained to improve the marketing measures and to optimize efficiency Advising selected departments on the potential and use of data analytics Evaluation of new methods and technologies in the field of data science Your profile Sovereign knowledge in multivariate statistics and linear algebra Diverse background knowledge and many years of practical experience in the following data analytics methods: Predictive Modeling, Classification & Regression, Association Analysis & Sequence Pattern Recognition, Segmentation and Variance Analysis Strong experience with Python for data transformation, machine learning or artificial intelligence Practical experience with relational databases, data structures, data transformation processes, data warehousing and data quality management Friendly and confident handling and a strong hands-on mentality Our partner offers Flexible working time models for an optimal work-life balance 30 days holiday Development opportunities for lifelong learning Design freedom and versatile applications Employer-funded pension U. v.   m. Could this job interest you?   Then we look forward to your meaningful application documents with possible entry date and salary expectations - please only by e-mail - to Imke Duensing at: imke.duensing@paltron.com

Codepan is a highly skilled & diverse technology team based in Berlin. We are currently developing our first product - Streem.ai. Streem.ai is an anomaly detection solution that monitors large amounts of data using unsupervised machine learning to provide insights and identify business critical blind-spots for organizations in real time. Your Role: Streem.ai is seeking an experienced and motivated Data Scientist to help build and refine an automated, real-time anomaly detection tool. The person in this role will work closely within our team of 5+ data scientists and software engineers in a startup environment. You will conduct research, design competitive machine learning algorithms, evaluate them on real client data, and help build a scalable end-to-end solution that is capable of near real-time anomaly detection. Our ideal candidate thrives in a fast-paced startup environment, has a background in statistics, applied mathematics, or computational science and a history of solving difficult problems in a scientific environment. The candidate has experience in designing, applying and evaluating state-of-the art machine learning models and is comfortable with writing code in Python and working with large amounts of data. We offer the unique and rewarding opportunity of building a product from scratch in a young company. We work in flat hierarchies and reward creative thinkers and curious minds. Qualifications: A postgraduate degree in Computer Science, Engineering, Mathematics or Statistics Ability to design statistical models Ability to design machine learning methods and apply them to data Proficiency in Python Experience with Github and either TensorFlow or Pytorch Ability to effectively communicate ideas and findings with actionable conclusions backed by data 2+ years industry experience Optional: Proficiency with SQL, MongoDB or other databases We're offering these benefits: Competitive salary with bonus options Team of experienced data scientists and full-stack software developers who are - more than happy to share their knowledge with you Working on diverse and cool projects in the field of Data Science & IoT International team with a diverse skill set and background, who really enjoys working together Beautiful office place in Kreuzberg (Paul-Lincke-Ufer)

Als ein international anerkanntes, norddeutsches ITBeratungsunternehmen suchen wir nach schlagkräftiger Verstärkung für unser hervorragendes Team. Mit modernen Methoden und Werkzeugen suchen wir für unsere Kunden nach bisher ungenutzten Optimierungspotentialen in ihren Geschäftsabläufen, entwickeln wir für sie anspruchsvolle, individuelle IT-Lösungen und unterstützen sie beim Betrieb. Unsere namhaften Kunden, vom Mittelstand bis zu multinationalen Konzernen, sind in vielen Branchen tätig. Sie wollen auf höchstem Niveau beraten werden und suchen innovative, efziente Lösungen für anspruchsvolle Aufgaben. Sie erwarten von uns eine umfassende, aktuelle fachliche Expertise, sowie eine exzellente Betreuung ihrer IT-Umgebung. Möchten Sie sich den Herausforderungen unserer Kunden stellen, in einem starken Team verantwortungsvoll Aufgaben für sie lösen, viel lernen und dabei noch Spaß haben? Was bringen Sie mit? Sie sind begeistert von den Chancen, die Künstliche Intelligenz heutzutage bietet, und wissen, wie Unternehmen davon proftieren können. Sie haben Erfahrung im Bereich Künstliche Intelligenz (KI) und kennen sich mit Begrifen wie „Deep Learning“, „Machine Learning“ oder „Neuronale Netze“ aus.  Sie verfügen über Programmierkenntnisse und/oder Erfahrungen in der Administration. Sie haben eine gute Kommunikations- und Teamfähigkeit, arbeiten eigenständig und übernehmen gerne schnell Verantwortung.  Sie suchen eine abwechslungsreiche Tätigkeit mit langfristiger Perspektive und dabei die Gelegenheit, immer wieder Neues dazu zu lernen. Falls Sie aktuell studieren: Wir bieten auch Praktika, Thesis-Arbeiten und studienbegleitende Jobs an, die Sie fachlich fordern und berufich weiter bringen Schicken Sie uns Ihre Bewerbung an: bewerbung@assono.de Weitere Informationen fnden Sie auf: www.assono.de/karriere assono GmbH Standorte: Kiel, Hamburg Lise-Meitner-Straße 1—7 24223 Schwentinental (bei Kiel)

Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe’s number one space enterprise and the world’s second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary – on the ground, in the sky and in space. Description of the job The Airbus Chief Technology Office (CTO) is looking for 2 Data Science Senior Scientists to join our Central Research & Technology – Data Science department in Ottobrunn, Germany. With your creative and analytic mind, you will use your unique expertise to conduct research projects which realize the technology needs for generation after next products. Tasks & accountabilities The principle responsibilities of the roles can be summarized as follows: To demonstrate technical leadership and to champion the development of chosen technologies, actively contributing to the research projects within their field. To identify critical internal and external resources, helping projects to realize the potential of external capabilities. To lead stakeholder engagement and effectively communicate project outcomes to ensure technology transfer and knowledge retention in their field. To ensure intellectual property generated is properly protected and integrated into the Group Technology Roadmaps. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Required skills Your Boarding Pass  Strong technical background in Computer Science and/or Applied Mathematics. You will need to demonstrate strong experience in one or more of the following fields: Data Structures & Storage, Data Analytics & Machine Learning, Data Visualization & Presentation. Ability to develop new applications in Engineering, Manufacturing and Services. Ability to assess any breakthroughs in this field (e.g. artificial intelligence, AR/VR) with a good knowledge of commercial and open source methods and tools. Good knowledge of the State of the Art in the relevant fields and understanding of how this can influence the technical needs for future product generations. Ability to ensure the research is conducted in a manner that is compliant with company procedures and that knowledge generated is protected. Negotiation level in English. Knowledge of German would be appreciated. Especially Entrepreneurial spirit, problem solving mindset. Good communication skills, ability to influence and transmit knowledge into the stakeholder community. Ability to work as part of a complex and diverse team with the willingness and desire to build a strong personal network to support the team's ability to achieve objectives in the most efficient manner.

(Senior) Berater- Business Intelligence/ Analytics und Big Data (m/w) in Berlin, bis zu 85.000 Euro pa.a je nach Erfahrung Für meinen Kunden mit Schwerpunkt Digitalisierung mit Standort in Berlin suche ich aktuell weitere Kollegen, die das Business Intelligence und Data Analytics / Big Data Team als Berater (m/w) unterstützen möchten. Wenn Sie also Ihre Analytics und Business Intelligence Skills, und ihre ersten Erfahrungen mit Big Data erfolgreich in einem neuen Projekt einsetzen und weiterentwickeln möchten, dann wäre dies eine einmalige Gelegenheit. Ihre Aufgaben:  Big Data und Data Warehouse / Business Intelligence Lösungen zu analysen und Konzeptionen erstellen   Entwicklung von analytischen Lösungen   Konzeption von Tests zur Weiterentwicklung von internen Prozessen   Dashboard Reports erstellen   Machine Learning – entwickeln und optimieren von verschiedenen Modellen   Teilnehmen bei dem Aufbau von DataLakes   Kundenbetreung Ihre Erfahrung:  Mind. 1-2 Jahre Berufserfahrung im Bereich Business Intelligence, Data Analytics und die ersten Erfahrungen in Big Data   Praxis- Erfahrung mit Oracle und/oder Microsoft Business Intelligence und/oder SAP und/oder Informatica oder ein vergleichbares Tool   erste Erfahrung mit Hadoop oder Machine Learning oder Cloud Lösungen   NoSQL DB Kenntnisse sowie Cassandra oder HBase   Min. Grundkenntnisse in Big Data Tools sowie Kafka, Spark, etc.   Kommunikationsstark und hohes Durchsetzungsvermögen   Hohes Innovationsdenken und Begeisterungsfähigkeit Sie bekommen:  Firmenwagen ab Einstieg   Arbeiten mit neuen Technologien sowie Big Data Tools und Cloud   Weiterbildungsmöglichkeiten   Flexibilität Denken Sie, dass es etwas für Sie auch?   Melden Sie sich einfach und ich werde gerne weitere Inhalts über die Firma & Stelle geben! Kontakt: Zsofia Meszaros   E-Mail: zsofia.meszaros@venturi-group.com Fühlen Sie sich nicht angesprochen, aber Sie sind im Bereich BI und Data tätig und können Sie sich einen Wechsel vorstellen? Da wir verschiedene weitere stellen Deutschlandweit haben, wir sollen uns auf jeden Fall einmal austauschen Kommen Sie gerne direkt auf mich per Mail oder Telefon zu: zsofia.meszaros@venturi-group.com / +49 800 6644810! Ich freue mich auf Deine Rückmeldung! Kommen Sie gerne direkt auf mich per Mail oder Telefon zu: zsofia.meszaros@venturi-group.com / +49 800 6644810! Ich freue mich auf Ihre Rückmeldung! Venturi ist ein international agierendes Unternehmen und spezialisiert auf die Personalberatung und – vermittlung im Bereich Business Intelligence (BI), Development & Design, Legal IT, Support & Infrastructure, Testing, Senior Appointments. Ich arbeite serviceorientiert für Kandidaten- und Kundenseite und möchte immer den höchst möglichen Standard und Qualität in meiner Arbeit bieten. Mir ist es wichtig offene Positionen mit geeigneten Kandidaten zu besetzen und langfristig Partnerschaften mit Kandidaten und Unternehmen aufzubauen.

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ABOUT US Contentful  provides content infrastructure for digital teams to power websites, apps, and devices. Unlike a CMS, Contentful was built to integrate with the modern software stack. It offers a central hub for structured content, powerful management and delivery APIs, and a customizable web app that enables developers and content creators to ship their products faster. Companies including Spotify, Red Bull, WeWork, Lyft, and Urban Outfitters rely on Contentful to manage content as part of their modern web stack. Contentful is growing rapidly, backed by $80 million in funding from VC firms including Benchmark and General Catalyst, and strategic investors including Sapphire Ventures (SAP) and Salesforce Ventures. We’re a fun team of more than 200 people from 44 nations, with offices in Berlin and San Francisco. Join us! As a Data Analyst (f/m) you will help us deliver on our mandate of gathering good data and making it actionable. You will contribute to providing data informed insights to every team and department in the company, and will have a direct impact on the way we build and support our product. RESPONSIBILITIES You will join our hybrid centralized/decentralized data team consisting of data analysts, data engineers, and business analysts You work with various teams on defining and enabling their data-assisted tactical workflows You collaborate with team and department leads on defining business goals and measuring them You perform self-driven quantitative analysis, distill recommendations, and contribute to decision making You model and develop datasets in our data warehouse and ETL pipelines You contribute to supporting and improving our data tooling and infrastructure You actively participate in improving our agile feedback loops and help nurture a healthy team environment You evangelize the value of data and insights at Contentful YOUR PROFILE  You must have at least 2 to 3 years of experience working as a dedicated data analyst or data scientist You must be fluent in SQL (we’re currently using Redshift and Athena) You have used modern BI tools (we’re currently using Looker and Periscope) You have worked in agile, cross-functional teams consisting of data analysts, data engineers, data scientists, and business analysts You have an understanding of data modeling patterns (state vs event-based, data warehousing) and data pipelining (dataflow, ETL, storage) You are familiar with using Python for data analysis and the preparation of analytical data pipelines. Experience with Apache Spark is a benefit. You have experience with source control (we’re using git), continuous integration and continuous deployment workflows You speak fluent English and possess excellent interpersonal communication skills THE GOOD STUFF Work with an experienced engineering management team Join an innovative tech company as we help drive the evolution of digital experiences to become ever-more ubiquitous and interactive Shape the future of Contentful: help us establish, scale, and improve our team's processes Generous education budget complete with extra days off to be spent on your professional and self-development Be set up for success, equipped with the latest and greatest hardware Hang-out in one of our many shared spaces, playing games with colleagues or enjoying a full range of events, including workshops, on-site meetups, guest speakers, and fun events for the company and each team. Did we mention an annual off-site? As much artisan coffee as you can handle Brush up your language skills! Our team speaks more than 20 languages, and we offer free German classes Take a break and pat a pup, we are a dog-friendly office We fully support your move to Berlin with a relocation budget and visa assistance. We'll help you settle into your exciting new city Plus,  Contentful socks , oh yeah! “Variety is the spice of life” — and a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and are proud to be an equal opportunity employer: all qualified applicants are considered for positions regardless of race, ethnic origin, gender, age, religion or belief, marital status, gender identification, sexual orientation, or disability. We look forward to your application!

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.

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. The Schwarzheide site is located between Berlin, the capital city, and the cultural metropolis of Dresden. Schwarzheide plays a pioneering role within the BASF Group during the digital transformation. We boost innovative drive with new technologies and ways of working. Join us and help shape the future. Take advantage of this opportunity to join the leading chemical company. To learn more about BASF Schwarzheide GmbH, please visit http://on.basf.com/Schwarzheide. What you can expect   Our interdisciplinary digitalisation team drives the digital transformation of one of our largest production sites forward. We use modern methods drawn from applied mathematics, data science, computer science and automation technology. Machine learning, big data analytics and model-based simulation and optimization are the focus in particular. You will harness digital technologies and solutions to enhance the efficiency of the processes used in production, supply, disposal and logistics. In the process, you will work on projects with the plants on site with internal and external partners(m/f/d) to drive digitalisation forward. Together with interdisciplinary project teams, you will provide workflows for statistical data analysis as well as develop and implement systems for data integration, data preparation and online solutions. The areas of focus in your work can be aligned toward your abilities, skills and interests. Examples of this include optimization of processes, supply and value chains, predictive maintenance and expert systems. What we expect   We are looking for candidates who enjoy working with data and mathematical and statistical models and have extensive experience in these areas. You hold a diploma or a master´s degree, in which you earned above-average marks. Ideally, you gone on to earn a doctorate in applied mathematics, statistics, natural sciences, computer science or engineering. Furthermore, you are proficient in at least one programming language, such as R, Python, MATLAB, VBA, Java, JavaScript or C/C++, and have experience with development of complex software packages. In addition, you are familiar with the latest digital trends regarding Industry 4.0 and familiarize yourself with new topics on your own responsibility. With your open, enthusiastic and results-oriented personality, you contribute to the team´s success while communicating proficiently in German and English. 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.