We are Covestro. We are curious. We are courageous. We are colorful. We redefine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 16,000 colleagues now and together we will MAKE the world a brighter place.
Senior Data Scientist (m/f)
YOUR TASKS AND RESPONSIBILITIES
The newly founded Advanced Analytics department is tasked to tame the data generated within the Covestro group, utilizing machine learning and artificial intelligence for solving data use cases and providing expert advise on all these topics.
The EPFL Extension School is looking for an experienced data science instructor to join our team. The course instructor will be responsible for assisting our learners as they progress through our courses and programs (for curriculum details please see our web site). This will mean supporting learners through 1-1 chat, group chat, support forum, for their course and capstone project work and presentations. The role will also involve creating and grading exercises and projects for learners.
Do you want to have a major impact on the performance of advertisers (online travel agencies, hotel chains and hoteliers) on a leading global hotel search?
Our Data Science team seeks an analytical mastermind to dig into the data of over 1.8 million hotels and develop an automated bidding algorithm that will allow our advertisers to hit their targets on our website.
What you’ll do:
You will push to improve your algorithm’s accuracy and employ the best possible analytics models, always keeping business priorities in mind.
XING is the social network for business professionals with millions of members all over the world. Help us shape the future – for a better working life! We currently have an opening at our offices in Hamburg and Barcelona.
Our Data Science team is responsible for turning data into services and products for XING. Around 20 Data scientists, architects and engineers work together to create highly scalable solutions that serve millions of users.
Join the financial revolution!
Are you passionate about finance and want to make a real change? Join Kreditech and our team of over 300 professionals and become part of a transforming industry. From engineering, to design, to analytics, and collections, we do things differently and we reward great ideas, team work and persistence. We have a lot of work to do – and we want you to join us!
Your Role
Delivery Hero is building the next generation global online food-ordering platform. Our highly international team already operates in over 40 countries worldwide to ensure hungry customers get to their favorite takeaway food the fastest way possible. The company has grown from its inception in 2011 to become the world’s largest food-ordering network. This is an exciting time for Delivery Hero with rapid growth in countries, market size and opportunities. Our ideal candidate will be enthusiastic, innovative and good at getting things done.
Data Analyst (m/f)
Dresden | full-time
Your tasks
Exploring data to find actionable insights and make product recommendations through funnels, cohort analyses, long-term trends, user segmentation, regression models and moreIdentifying, translating, prioritizing and informing important product questions with dataSetting up, analyzing and promoting good practices for multivariate experimentsWorking with engineering to implement, document, validate and monitor our logging and metricsCrafting simple, dependable data pipelines and automated reporting to surface metricsWorking towards creating a data-informed culture at LOVOOWe offer
About
As a Data Engineer at RISK IDENT, you will be a member of our FRIDA ML team. This team is developing one of our products based on a scalable platform for real-time data processing, analysis and prediction, turning insights and models into the production code that forms the backbone of our fraud prevention solutions. The Data Engineer role at RISK IDENT combines Data Science and engineering skills, with a very strong focus on the latter.
Data Analyst – Consultant/Senior Consultant (f/m) Finance Advisory Services / EMEIA Financial Services in Zürich
EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.
The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 30 million members in 14 countries on three continents. In less than 6 years on the market, we have grown to more than 250 million Euros in annual sales, and the opportunity ahead of us is massive.
The Westwing team is the secret to our success.
As a Senior Data Analyst (m/f) in our marketing team, you will combine your passion for computer games with statistical, economic and IT knowledge. You will be responsible for quantitative analyses of our 300 million+ registered players. Developing and maintaining our internal marketing data platform is also a fundamental part of your role.You will recommend courses of action, create reports, and use tools that contribute to optimizing our marketing activities and thus increasing our company’s success.
Der SPD-Parteivorstand sucht für das Analyseteam zum nächstmöglichen Zeitpunkt einen /eine
Data-Scientist (Referent/Referentin).
Die Stelle ist befristet bis zum 31. Oktober 2018 in Vollzeit zu besetzen.
Das Analyse-Team der SPD erstellt laufend Analysen des Datenbestands der SPD, um strategische Entscheidungen zu informieren und die Allokation von Ressourcen im Straßen- und im Onlinecampaigning zu optimieren.
Der Data-Scientist*ist in jeden Schritt der Datenerfassung und des Analyseprozesses involviert. Sie erstellen Vorhersagemodelle für unterschiedliche Aktivitätsbereiche der Partei und arbeiten Daten so auf, dass andere Fachbereiche informierte Entscheidungen treffen können.
DAS MACHEN SIE MÖGLICH:
Sie analysieren Daten aus den verschiedenen Geschäftsfeldern des Konzerns.
Sie entwickeln in einem dynamischen Team neue
Use Cases in enger Zusammenarbeit mit verschiedenen Fachbereichen.
Sie unterstützen die Kollegen bei der Entwicklung von Marketingstrategien und der Auswertung und Beurteilung von Kampagnen.
Sie bringen Geschäftsprozesse mit Ihren Analysen voran.
DAS BRINGEN SIE MIT:
Sie verfügen über ein abgeschlossenes Studium idealerweise der Statistik, Mathematik, Wirtschaftsinformatik oder eines verwandten Studiengangs.
HERE enables people, enterprises and cities around the world to harness the power of location and create innovative solutions that make our lives safer and more efficient. We transform information from devices, vehicles, infrastructure and other sources into real-time location services that play a key role in how we move, live and interact with one another.
Maps remain at the heart of the HERE mission. But what we are building today is, of course, very different from our earliest maps.
As a startup with significant funding, we are seeking a dedicated Data Scientist who is ready to shake the publishing industry and work on the next best-seller prediction algorithm.
You are/have:
An enthusiastic readerExcited about discovering future bestsellersStrong mathematical backgroundAdvanced knowledge in one of the following programming languages: R / PythonNot afraid of writing complex SQL queriesSome knowledge in Node JS / Ruby would be a plusStartup experience is a clear plusYou will be responsible for:
Für unser Team Analytics and Insights in Hamburg suchen wir Sie als
Data Scientist (m/w)
Die Generierung von Insights auf Basis von Datenanalysen bildet die Grundlage für die Entwicklung von Strategien und konkreten Maßnahmen zur Stärkung der Wettbewerbsposition der TK. Wir arbeiten in einem interprofessionellen Team von ca. 20 Kollegen/-innen im TK-Kompetenzzentrum Data Science/Künstliche Intelligenz. Geschäftsbereichsübergreifend entwickeln wir datenbasiert Lösungswege zur Verwirklichung unserer Unternehmensziele.
Welche Aufgaben erwarten Sie?
Planung, Entwicklung und Durchführung von komplexen Analysen im Sinne von Statistical/Machine/Deep Learning mit dem Ziel, Insights zu generierenTransfer fachspezifischer Fragestellungen in Datenmodelle sowie Auswahl, Aufbereitung und Bereitstellung der erfolgskritischen DatenquellenFach- und zielgruppengerechtes analytisches Storytelling und -listening, einschließlich adressatengerechter Visualisierung und Kommunikation der komplexen ErgebnisseÜberführung der gewonnenen Erkenntnisse in produktive LösungenVerantwortung der gesamten Wertschöpfungskette Data ScienceWas erwarten wir von Ihnen?
