What you will do and learn Work alongside our CTO and take responsibility for the company and your own learning journeyManage own projects from writing high-quality code to documentation and testingCI, deployment and integration of additional AWS services into our infrastructure to further utilize analytical and optimization potential What you will do, will be heavily dependent on both your skills, experience, and personal development goals.  What you should bring to the table Most of all, curiosity and personal fit with current team Experience in the AWS ecosystem (EB, EC2, Lambda, Infrastructure, Data pipelines)Experience in Ruby on Rails and React (comparable languages do qualify)Ideally, experience with machine learning, python, sagemakerWe believe in talent and curiosity.

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.

Worum geht es? Wir analysieren Daten, entwickeln statistische Modelle und wenden sie an. Dabei setzen wir Machine Learning und Deep Learning Methoden u.a. in den Bereichen Natural Language Processing, Vision und Automation ein. Deine Technologien Sehr gute Kenntnisse in Python oder einer anderen Programmiersprache wie C/C++.Erfahrung mit ML-Frameworks wie Tensorflow, Keras, PyTorch oder Caffe.Erfahrung mit Cloud Computing Umgebungen wie AWS, Azure oder GCP.Docker, CUDA und RESTful API sollten für dich keine fremden Begriffe sein.

THE ROLE As a Data Engineer in the Retail Operations Data Products team, you’ll work with Data Scientists, Backend and Research Engineers to build data-driven products that help Zalando place the right orders for the right articles. Having successfully launched our Sizing decision support product, we are now taking on the challenge of moving from decision support to decision automation. This opens new opportunities and puts new requirements on our data and machine learning pipelines.

Your Tasks You will develop and operationalize machine learning models in a balanced team of software engineers, data engineers, designers and product managersYou will help to identify, shape and implement data-driven product featuresYou will participate at meetups, conferences and the research community and apply what you’ve learned back at your daily workYou will take an active part in building up the newly created machine learning/data science teamYour Profile A scientific education in mathematics, statistics, economics, computer science, machine learning or similarPrevious work experience in data science, machine learning or similarExperience with programming languages such as Python, R or Scala and SQLExperience with the PyData stack (pandas, scikit-learn, keras and many more)Experience with the command line, shell scripting and version control (Git)Strong theoretical and practical understanding of machine learning and statisticsExperience with distributed computing frameworks (Spark, Hadoop and Flink), deep learning algorithms (feed-forward, CNNs, RNNs) and cloud services (AWS, Google Cloud)Experience with modern agile software development practices like test-driven development, pair programming, CI/CD etc.

XING provides advice and support to its more than 14 million members during the upheaval processes in the world of work. In an environment marked by a shortage of skilled workers, digitalization, and changes in values, XING helps its members achieve as harmonious a work/life balance as possible: For a better working life. XING’s Marketing Solutions unit is responsible for turning data into services and products. Data scientists, architects and engineers across different units within XING work together to create highly scalable solutions that serve about 15 million users.

To support our ambitious growth, we are now looking for a Principal Data Scientist (m/f/d) to join our team in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board

Our Data Solutions team forms an essential link between our business and infrastructure teams: it defines and implements business processes in data pipelines, monitors existing services and thereby provides the best service to our customers. As a Senior Data Engineer in our Data Solutions team you will be working on a broad set of real-world problems of large scale that have a direct and significant business impact. In close collaboration with our business analysts and software engineers you will create high-performance data processing solutions that scale using emerging technologies and approaches and help us define new best practices.

At Saloodo! we are looking for an experienced Data Scientist to join our rapidly growing dynamic Data & AI team and help us building the future of digital logistics. Transportation is all about efficiency, high performance, reliability and commitment. A perfect world to disrupt with data and technology-driven business models. Jump on board and let’s form the future world of logistics together! Responsabilities: Being pro-active in applying and developing state-of-the-art and innovative machine learning/artificial intelligence technologies to pursue the vision and mission of Saloodo!

About Us At KI labs we design and build state of the art software and data products and solutions for the major brands of Germany and Europe. We aim to push the status quo of technology in corporations, with special focus areas of software, data and culture. Inside, we are a team of software developers, designers, product managers and data scientists, who are passionate about building the products of future today.

About Us At KI labs we design and build state of the art software and data products and solutions for the major brands of Germany and Europe. We aim to push the status quo of technology in corporations, with special focus areas of software, data and culture. Inside, we are a team of software developers, designers, product managers and data scientists, who are passionate about building the products of future today.

We are offering an exciting position as a (Senior) Software Developer (f/m) in the field of reinforcement learning. Calling on your sound knowledge of reinforcement learning, you will independently develop new concepts and algorithms for motion planning and decision-making. You will be responsible for implementation and evaluation in simulations as well as in final testing with real test vehicles. Integration of the algorithms in a distributed software architecture means that much of your work will entail collaborating within a large team of machine learning-experts.

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

Ihre Aufgabe Zur Verstärkung der Abteilung Kranken/Business Intelligence am Standort Aachen bzw. Hamburg suchen wir Sie zum nächstmöglichen Zeitpunkt als Big Data-Plattformarchitekt (m/w/d) – Schwerpunkt BI und Analytics. Sie sind verantwortlich für den Aufbau und die Weiterentwicklung einer Big Data-Plattform im Rahmen eines agilen TeamsSie konzipieren, designen und entwickeln Komponenten, Prozesse und Frameworks zum Aufbau einer zentralen Datendrehscheibe (Data Lake) für strukturierte und unstruk­turierte Daten mit dem Schwerpunkt Enablement BI und AnalyticsSie sind verantwortlich für die Bereitstellung und den Betrieb (DevOps) aller Plattformkomponenten unter Einhaltung der vereinbarten SLAsSie übernehmen das Monitoring bzgl.

About the role Create and deploy production-ready machine learning models, life-cycle managementEvaluate and assess model quality through metrics and experimentsEnd-to-end responsibility for socio-demographic predictions, audience expansions and interest inferenceWriting production code with Spark and Scala and creating advanced pipelines with LuigiWorking with git on github, various services on AWS, Jira and Confluence with an agile software development cultureAbout you Deep knowledge in Scala, Java or C++ and strong skills in either Python or BashExpertise in using Spark, Hadoop, etc.

Your responsibilities: As a Python and/or Java Software Developer in our data science team, you will be responsible for the design, implementation and automation of new algorithms for predictive analytics and recommender systems. Understand and expand a thrilling tech stack for fully automated marketingAnalyze, improve, and design production ready Machine Learning model generators and feature extraction systemsBe responsible for the continuous optimization of data input and model outputApply Data Mining, Predictive Analytics, Machine Learning & and Data Engineering PrinciplesRequirements/Qualifications:

Responsibilities Data formatting, preparation, and ETL - ensuring everything we build that is useful is located in our data warehouse and in our BI toolsImplementing production from Python algorithms, crawlers, and data extractors from experimental Jupyter notebookPartnering with frontend and backend engineers to include our algorithms within our apps, i.e. Driver app (demand forecasting, predictive maintenance, etc.) and User app (demand pricing, targeted marketing, etc.)Creating, extracting and scraping new data sets from our existing data sources as well as from commuter data via GSM, public transport data, high frequency shops and venues, events, etc.

Advanon is looking for a Machine Learning Intern for its growing R&D team!If you have the drive to push forward a leading FinTech startup in Switzerland with applied machine learning research and development, joining our team will put you in a prime position to do just that.Advanon offers an online platform that allows small and medium businesses (SMEs) to access needed liquidity by offering them financing solutions. As we are growing and extending our portfolio of products, we’re working on exciting machine learning problems in credit risk prediction and document understanding.

Your tasks: Develop, improve, test and deploy algorithms for parking spot detection with ParkHere sensors Be responsible for high detection rates and a robust system Work on the complete data science pipeline incl. Machine Learning Lead a team of Juniors/Working Students Your profile: You graduated in Mathematics in Data Science, Data Engineering and Analytics, Computer Science or similar You have gained a lot of data science experience in projects including Machine Learning You like to solve problems and directly contribute to the success of ParkHere

We’re looking for a motivated and driven (Senior) Data Scientist (m/f/d) who will help us shape our team, drive the company to the next level, and have the most direct influence on our success. Your Tasks – Paint the world green You will work in a cross-functional, product-focused team revolutionizing forecasting, dynamic pricing and revenue management for large transportation networksYou will support the team to productionize data products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly drive strategic decisions by leading organizational level initiatives that provide the required scale, efficiency, and insight across our organizationYou will collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data organizationYour Profile – Ready to hop on board