Job Description
Your Team Avaloq Insight platform is an Inhouse Big Data platform built using a set of widely adopted big data open source technologies. The aim of the platform is to provide simplified access to high volume data to solve complex financial problem using ML/AI. The platform is also used to gather meaningful insights from the high-volume financial data.
Duration: 6 monthsStart: 02/2021Your mission Performance bottlenecks in latency and throughputSizing requirement for different components based on different loadsQuery performance and optimisation of massively parallel processing database componentsAutoscaling strategies for different type of compute workloadsMetrics and DevOps Dashboards for BenchmarkingCost of running the platformQualifications
We here at plista are looking for a new Data Scientist (m/f/d) to join our team. The data science team handles our internal and external clients’ data needs, builds machine learning services and develops our content recommendation engine. We are looking for a colleague that has a deep understanding of the methods and methodologies involved in machine learning, has the knowledge to build systems on a global scale in the cloud and is not shy to bring their own ideas and projects toimprove our current state of the art.
WHAT YOU WILL DO
Our mission at Mimi is to give everyone the best possible hearing experience. We are the world’s leading provider of hearing-based audio personalization and digital hearing test technologies. Our team has developed a biologically-inspired and proprietary audio processing technology that knows how well you hear in order to personalize your listening experience. Mimi’s technology can be integrated into consumer electronics devices, such as headphones, smartphones, TVs, in-flight entertainment systems and a range of systems and platforms.
Celonis is the leader in business transformation software. Our Execution Management Systems (EMS) lifts barriers to execution capacity to maximize business performance. We give data-driven & AI technologies context and let them speak in a wholly new way based on our award-winning process mining technology, which ispowered by our in-house developed and patented PQL (Process Query Language). The Celonis Execution Management System provides a set of instruments and applications to help companies manage every facet of execution management from analytics, strategy and planning, to management, actions, and automations.
Join finn.auto to make car ownership fun & sustainable and play a key role to fulfill our mission to build the most popular car ownership provider in the world. We launched in 2019, offering an all-inclusive car-subscription in Europe.
// Mission
At finn.auto we create software that will manage thousands of vehicles and customers on a daily basis. You have the chance to join this team early on and work independently on our product.
Want to be a hero? - Join the #1 Global Leader in online food ordering and delivery!
We are looking for Senior Data Scientists(f/m/d) to join our “Quick Commerce” team. Contribute to the creation of our next generation platform, that works on expanding our amazing delivery to new products such as groceries, pharmaceuticals, flowers and more. Work on Delivery Hero’s catalog management, campaign management, ad-serving/ad-booking systems. If you’re a creative problem solver who is eager to deliver solutions and hungry for a new adventure and data, an international workplace is waiting for you in the heart of Berlin!
At Bonial, the Data Team is one of the hubs between Online Marketing, Product, IT, Operations and Sales. It’s a unique position as we can explore data from different aspects and bring valuable insights to the company. Our mission is to transform data into the source of truth and thereby enable Bonial employees to make smarter decisions. We turn data into information then into knowledge, help teams understand their capabilities, support teams in shaping the right questions for their challenges and teach them how to use the tools we provide.
Data Scientist (m/w/d) Customer Analytics in München
Wertschätzung. Sicherheit. Wachstum.
Dafur steht seit uber 200 Jahren die Versicherungskammer Bayern.
Bei Zahlen können wir auf Sie zählen: Für unser Customer Analytics Team werten Sie Daten aus, führen Analysen durch und erstellen beeindruckend treffsichere Vorhersagemodelle. Sie verstecken sich nicht hinter Zahlenkolonnen, sondern präsentieren auch souverän Ihre Ergebnisse und erstellen lesenswerte Berichte. Klingt wie für Sie gemacht? Dann bewerben Sie sich jetzt. Wann es losgeht?
Why only watch when you can be part of it? Europe’s smartest travel platform does not develop by itself.
In order to achieve our high ambitious goals, we are looking for clever minds, trouble-shooter, implementers and communication talents. With more than 40 million annual customers worldwide, Eurowings is one of the leading airlines in the European market. Eurowings Digital is a subsidiary of Eurowings Aviation and transforms the Eurowings brand from an airline to a holistic, digital travel companion for the entire travel chain.
Mission
As a ML Engineer in the engineering department, you will be working on our key business challenges. The solutions you provide will have a large impact on our success and on our partners’ success. Understanding the buying data from millions of customers is something you love and predicting their best fitting product is your Christmas. And using the latest technologies to normalise product data as well as finding a way to automise data queries is your dream job.
Analyst/-in für Cyber-Sicherheit (m/w/d)
Kennzahl: AS-2021-019
Bewerbungsfrist: 17. Mai 2021Laufbahn: gehobener DienstStandort: BerlinArbeitszeit: Vollzeit
Ihre Aufgaben
Auswertung von Cyber-Strukturen anderer StaatenAuswertung allgemeiner Themen der Cyber-SicherheitAnalyse von Cyber-Angriffen ausländischer AkteureInternationale KooperationenIhr Profil
Elektro-/Informations-/NachrichtentechnikInformatikMathematikStatistiker und Data ScientistsWirtschaftsingenieurwesen (mit Schwerpunkt auf Ingenieurswesen bzw. Informations- und Kommunikationssysteme)MaschinenbauNaturwissenschaften und grundlegendes Verständnis der Informationstechnik (bspw. Netzwerkprotokolle) und der Cyber-SicherheitBioinformatikerMathematische BiometrieTechnische und angewandte PhysikPhysikalische TechnikSlavistik und mindestens drei Jahre Berufserfahrung im Bereich Cyber-SicherheitSinologie und mindestens drei Jahre Berufserfahrung im Bereich Cyber-SicherheitEbenfalls erwarten wir:
Web / Data Analyst E-Commerce (m/w/d)
MarkkleebergVollzeitWir sind: apo-discounter.de, eine der innovativsten Versandapotheken Europas! Unsere über vier Millionen Kunden setzen auf Zuverlässigkeit, Schnelligkeit und einen Top-Service. Mit unserer verkehrsgünstigen und zentralen Lage nahe Leipzig können wir Verbraucher kontinentweit mit Qualitäts- und Markenprodukten beliefern.
Wir suchen: Sie, wenn Sie Web / Data Analyst E-Commerce (m/w/d) sind und uns zum nächstmöglichen Zeitpunkt in Vollzeit (40 Stunden/Woche) am Standort bei Leipzig unterstützen möchten.
What makes us unique is the combination of optometry and tech. We are looking for tech talents who want to join us in disrupting the market with new digital solutions. Everything we develop is designed to help our customers find the perfect glasses or sunglasses easily, quickly, and with fun and joy, in the online shop as well as in person.
With innovative technology and agile methods, our development and product management teams are hard at work continuously optimising the customer journey and also growing their own knowledge and expertise.
As a part of Amadeus, travel audience unit is the world’s leading data-driven travel advertising platform. Travel audience harnesses the power of home-grown tech, combined with cutting-edge machine learning practices to connect the leading performance-oriented travel brands with the biggest network of publishers, reaching Billions of travellers globally.
Our aim is to optimize advertising across the entire traveller journey, identify and create new audiences, and increase our partners reach, relevance and booking volumes.
The Invia Group is a pan-European market leader in online travel sales and brings together leading travel portals in Europe under one roof. From package holidays to tailored tours, from business trips to family breaks, our offers for tourists serve a wide range of target groups. Among others, it operates the portals fluege.de and ab-in-den-urlaub.de.We are looking for open minded and creative people dedicated to help our customers reach their travel destinations. Transparency and collaboration in a healthy work environment is what we believe to be a major foundation of our success.
Main Duties and Responsibilities
Help us create AI / ML ready datasets from Petabytes of raw data and meta-dataAutomate integration of different data-sources into a coherent flow/ data pipelines (support also data normalization and result calculation)Develop and build systems and architectures for ETLsPerform system & data testingUnderstand and apply FAIR data principlesStrong adherence to compliance & regulatory environmentsBuild algorithms toEssential Requirements
Computer Science, Engineering, or Bioinformatics (Master level) plus 5 years relevant experienceExcellent programming skills (Python, C++, R)Experience in designing and implementing RESTful APIs and webservicesAn ability to interact with various data sources, both structured and unstructured (e.
Main Duties and Requirements
Data capture, data cleansing, and data enrichment as a preparation step for bioinformatician/image analysis activitiesTrack the flow of data within ETL (extract, transform, load) and analysis pipelines, ensuring successful processing and data validityGeneration consolidation and re-formatting of image analysis readout tables resulting from different formats (csv., JSON etc.)Work together with bioinformaticians/ data scientists/image analysis specialists to identify optimal ways to prepare, curate and navigate their datasetsAutomating the way we currently capture data to save time, reduce errors and create high-quality datasetsDeveloping and applying FAIR data principlesWork with bioinformaticians/data scientist and data management teams to develop best practices in data wrangling/curation and storage experimental metadataWork with the software and information technology teams to specify, design, and implement the infrastructure for storing, searching, visualizing and integrating experimental datasets and resultsRequirements
Hadoop Engineer - Big DataDevelopment Hamburg Full-TimeOur story:InnoGames is Germany’s leading developer and publisher of mobile and online games. The company based in Hamburg is best known for Forge of Empires, Elvenar and Tribal Wars. InnoGames’ complete portfolio encompasses seven live games and several mobile titles in production.Born as a hobby, InnoGames today has a team of 400 employees from more than 30 nations who share the passion of creating unique games that players across the globe enjoy for years.
The development of complex materials with tailored properties as well as the understanding of the underlying mechanisms require an integrative combination of data analytics and material characterization with theory, simulation, and research data management. In particular, for computer-aided analysis of (image) data from electron microscopy, artificial intelligence methods such as Deep Learning (DL) offer excellent potential. The multidisciplinary Institute for Advanced Simulations – Materials Data Science and Informatics (IAS-9) combines disciplines ranging from data analysis and materials simulation to research data management and software development under one roof.
Marley Spoon is bringing delightful, market fresh and easy cooking back to the people, while re-inventing the global food supply chain to reduce unethical food waste. We are connecting consumers with quality producers, providing fresh ingredients directly to customer’s homes and we are present in Europe, the US and Australia, shipping more than 140 000 food boxes every week.
The data engineering/machine learning team
We are a lean team working closely with the Data Warehousing, Data Science and DevOps Teams.
