Develop Revolutionary Machine Learning Applications with us! We are a team of highly motivated software architects and mathematicians with diverse backgrounds – from machine learning, routing algorithms, and signal processing to compiler technology and mathematics. We combine our knowledge to advance CeleraOne’s machine learning models and applications every day. Job Description - Modelling industrial processes using advanced machine learning methods - Utilizing modern machine learning frameworks: Google TensorFlow, scikit-learn, pandas, and more
Your day-to-day challenges: Working on one of the most innovative risk models in the fintech industryIdentifying and extracting features for our risk modelsContributing to our risk engine in order to know how AI is used in the industryClose co-operation with data engineering and business unitsDeveloping your skills in a very rewarding and promoting environmentYour skills Include: Pursuit of a degree related to business or a quantitative subjectBasic experience with SQL and PythonFast and agile learnerWork well under tight deadlines and fast pace work environmentBonus points:
Your day-to-day challenges: Working on one of the most innovative risk models in the fintech industryApplying statistical and machine learning techniques to predict various business outcomesData wrangling and building mathematical models for practical applicationsAutomating parts of our feature engineering pipelineResearching new methodologies to improve our model building pipelineClose co-operation with data engineering and business unitsYour skills Include: 3+ years of working experience in data science, machine learning or statisticsGood understanding of probability and statisticsSolid knowledge about data structures and algorithmsExpert knowledge in Python, specifically pandas and scikit-learnFamiliarity with standard ML techniques (e.
Projektleiter Data Science (w|m)MünchenONE LOGIC ist ein 2013 gegründetes und aus eigener Kraft gewachsenes Data Science-Unternehmen mit einer starken und teamorientierten Unternehmenskultur. An unseren Standorten in München und Passau zählen wir inzwischen über 80 Mitarbeiterinnen und Mitarbeiter. Unsere Kunden reichen von mittelständischen Spezialisten bis hin zu mehreren DAX-Unternehmen. WASDu übernimmst die verantwortliche Leitung von Data Science-ProjektenDu stellst die umfassende und zielgerichtete Kommunikation mit unseren Kunden auf verschiedenen Projekt- und Managementebenen sicherDu definierst komplexe Datenanalysen und bist für deren Umsetzung verantwortlichDeine Arbeit basiert auf einer analytisch und methodisch fundierten GrundlageWARUMWir sind überzeugt, dass Erkenntnisse nur dann einen Wert bringen, wenn sie zu neuem Handeln führen.
data Artisans is currently building a new team of Solution Architects in Europe and the US. You’ll be part of a new and fast-growing team helping customers having a great experience using our products and Apache Flink. The role will sit at the forefront of one of the most significant paradigm shifts in information processing and real-time architectures in recent history - stream processing - which sets the foundation to transform companies and industries for the on-demand services era.
Our Marketplace team is looking for a Team Lead to help them successfully reach all their Data Science goals! Marketplace’s core responsibilities are: Creating a delightful & consistent experience for users who search for the best rate.Enabling our advertisers to run superior marketing campaigns.Monetizing our product at the highest efficiency.What you’ll do: Establish a vision for the team, and cooperate with your Product Owner on Roadmaps to realise that vision.Create better and smarter algorithms, independently, and with your team.
Have you dreamed of building the future? relayr has become Europe’s leading platform for the Internet of Things, enabling the interaction between diverse systems, and creating new scenarios in which we interact with the world around us. If you would like to work with a great team and technology to build the infrastructure for the next generation of connected devices… Then relayr is the right place for you! We have a cloud interoperability platform supported by a diverse mix of SDKs and APIs for both IoT hardware and Applications that want to access the data.
Have you dreamed of building the future? relayr has become Europe’s leading platform for the Internet of Things, enabling the interaction between diverse systems, and creating new scenarios in which we interact with the world around us. If you would like to work with a great team and technology to build the infrastructure for the next generation of connected devices… Then relayr is the right place for you! We are looking to recruit highly motivated engineers and scientists that can successfully rise to the diverse challenges in the emerging market of Internet of Things.
YOU SELL. WE DELIVER. We are Seven Senders. Our product revolutionizes cross-border e-commerce in Europe. We enable online shops to ship to customers abroad 30% cheaper and twice as fast. In order to accomplish this task, we are managing the physical flow of goods and organize all required logistics processes. Technology is the key enabler of our business model, ranging from transport management systems, analytics for shipment processes to track and trace solutions for customer parcels.
We want to grow our successful German business and therefore we are looking for a Senior Data Scientist (m/f) based in Berlin, Germany. Your tasks You analyze our data and prototype demand forecasting and customer behavior models You use statistical models to answer real-life questions like You answer questions such as “How many people will travel from Berlin to Munich during Octoberfest?”, “What are the effects of price changes?”, “What will be the new trending vacation destinations next summer?
For our location in Berlin we are looking for a (Senior) Data Engineer (m/w). Are you into finding hidden treasures in legacy databases with cloud-based analytical tools? Welcome to the team! Digital strategies and concepts only have value if they are implemented successfully. As a member of our Design & Engineering Team, you validate business and process innovations for our global customers by developing prototypes and MVPs. Together with colleagues from the Boston Consulting Group, you will work in an agile way on frequently changing topics.
Data driven, analytical and team-spirited – our trainees are passionate about transforming mobility. With the Global Leader Development Programme you’ll work in agile teams with cutting-edge, constantly-evolving technologies, and be supported step by step as you hone your skills, gain valuable international experience and take on responsibilities from the very beginning. Our ultimate goal is to oer exible responses to change. So join an experienced and passionate team that works innovatively on a smart production environment.
At HelloFresh, we want to change the way people eat. Over the past 5 years we’ve seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. We’re now active and growing in 9 different countries in 3 continents. Our story started in Berlin.
At HelloFresh, we want to change the way people eat. Over the past 5 years we’ve seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. Now we’re the fastest growing company in Europe, active and growing in 9 different countries across 3 continents.
THE CHALLENGE We are building a data science environment supporting data scientists all the way from exploring data and experimentation with different models to deploying them in decision tools or automations. At the core of our data science environment are small, reusable “data science bundles”, built using the tools of your choice. We’re mainly using Go with the occasional bit of Python thrown in. We are planning to open-source our data science environment during the course of this year with the goal of making it an Apache project eventually.
About this job Job type: Full-timeExperience level: Mid-Level, SeniorRole: Database AdministratorIndustry: B2B, Data & Analytics, Data ScienceCompany size: 11-50 peopleCompany type: VC FundedTechnologies scalaapachejavaplayframework-2.0akka Job description About the role The product: A sophisticated query engine We are building a sophisticated OLAP/SQL query engine for advanced analytics, accessing data from many different data sources (RDBMS’s, Hive, Impala, Druid, Elasticsearch and others). The query engine is written in Scala and builds on Apache Calcite. We are planning to open-source it during the course of this year with the goal of making it an Apache project eventually.
We are working on sophisticated problem solving algorithms for the logistics industry. Topics like price prediction, routing and decision optimization are only a few of them. Besides decision trees and random forests we are working on a deep learning neural network to transform the trucking industry not only into the digital age but to also make it intelligent. And this is where we need additional (wo)man power for acceleration. Could this be you?
Your profile: We are looking for an experienced and passionate Data Engineer (m/f) to join our BI team in Berlin. As Data Engineer (m/f) you will help us to design and implement a modern streaming framework. At Pepper.com, we rely on data to drive our business decisions and to guide us in our search to build the best user experience. That’s why our BI team plays a central role in our data-driven strategy, designing and developing our infrastructure, processes and analytics capabilities.
Are you a curious Java developer with a passion for Data Science? Our Marketplace department are looking for a new gang member to join an interdisciplinary team of expert engineers and data scientists to support in bringing machine learning and predictive algorithms into production. If you’re looking for a role in a dynamic, ever-changing and innovative environment where your work has a direct visible impact, you’ve come to the right place.