Data Science Manager (m/f/x)
Berlin
At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit sector and inspire millions of energised home cooks across the globe every week.
We offer our meal kit boxes full of exciting recipes and thoughtfully sourced, fresh ingredients in more than 10 countries, operating from offices in Berlin, New York City, Sydney, Toronto, London and Amsterdam.
ABOUT US
The idea for delicious data was born when we had a late lunch at our cafeteria and there was still plenty of food available. That was the moment when we started to think about how kitchens plan their menus and numbers of meals. In Germany alone, restaurants and other food service businesses throw away roughly 2 million tons of food every year. One main reason for this problem is overproduction due to uncertain guest demand.
Hi. Wir sind InVision.
Seit 1995 entwickeln wir unsere eigenen Softwareprodukte, die weltweit von zehntausenden Contact-Center-Mitarbeitern genutzt werden. Unsere Workforce-Management-Software und E-Learnings helfen unseren Kunden, den Einsatz und die Weiterbildung ihres Personals zu optimieren.
Dabei wollen wir immer besser werden und uns gemeinsam weiterentwickeln. Bei uns findest Du nicht nur genug Freiraum für Deine kreative Entfaltung, sondern auch eine Kultur, die von Teamwork, Leidenschaft und Vertrauen geprägt ist.
Für unser Team im Düsseldorfer Medienhafen suchen wir Dich als Data Scientist.
Delivery Hero is building the next generation of online food-delivery platforms. We are truly international with engineering teams in 12 countries and operations in 40+ countries.
Delivery Hero Tech has played an instrumental role in the large growth of our company.
Our Tech teams leverage a diverse stack to create cutting-edge solutions which cover the full customer experience - starting with an online search for food and ending with a delicious meal arriving at your doorstep.
Hi. Wir sind InVision.
Seit 1995 entwickeln wir unsere eigenen Softwareprodukte, die weltweit von zehntausenden Contact-Center-Mitarbeitern genutzt werden. Unsere Workforce-Management-Software und E-Learnings helfen unseren Kunden, den Einsatz und die Weiterbildung ihres Personals zu optimieren.
Dabei wollen wir immer besser werden und uns gemeinsam weiterentwickeln. Bei uns findest Du nicht nur genug Freiraum für Deine kreative Entfaltung, sondern auch eine Kultur, die von Teamwork, Leidenschaft und Vertrauen geprägt ist.
Für unser Team im Düsseldorfer Medienhafen suchen wir Dich als Data Scientist.
Who we are
This ad goes out to all those who want to find a purpose in what they’re doing and take accountability for their work. At Blinkist, we’ve created a meaningful product that is growing fast. Our blinks – key insights from the world’s best nonfiction – help more than 10 million people around the globe to keep learning new, exciting things each and every day.
In 2017, we received the United Nations World Summit Award in the Learning & Education category, a Google Material Design Award for Brand Expressiveness, as well as an Android Excellence Award.
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
About us
StackFuel is Germany’s first provider of practical online training courses in the field of data analytics and data science. Within the context of the widespread digital transformations that are taking place, Stackfuel prepares large corporations, medium-sized companies and start-ups to make sure that they are able to work effectively in a data-driven working environment. For this, the StackFuel team relies on the cloud-based training environment Data Lab, the award-winning training environment that has been developed in-house by Stackfuel.
SwissBorg’s Post Graduate Program
Are you a recent graduate looking to enter the paradigm-shifting blockchain and crypto space? Do you want to expand your horizon and be part of the change that the new technology is ushering? Do you want to work with a fabulously diverse and open-minded team of brilliant engineers and professionals? If, yes, then you need to take a look at this great opportunity that we are offering.
Wir suchen Dich als (Senior) Consultant (w/m) Data Science & Artificial Intelligence
Als Developer für Data Science und Artificial Intelligence bei MHP entwickelst Du Strategien, Lösungen und Produkte basierend auf den neusten Technologien und beeinflusst somit wie zukünftig Menschen forschen, arbeiten, analysieren und miteinander kommunizieren – mit unseren Themen begeistern wir andere! Du erkennst Chancen und wagst es auch mal alternative, neue Wege zu gehen, ohne das Ziel aus den Augen zu verlieren.
As the Principle Scientist for Pricing & Forecasting, you will be responsible for machine learning innovation in some of Zalando’s most critical products. You will build first-class machine learning solutions that forecast the demand for the 300k+ items that we offer our customers. Using your excellent research skills, you will try to better predict our order cancellation rates and foresee our order return rates. You will leverage cutting edge machine learning technology to optimise our pricing algorithms.
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
Develop cutting edge Machine Learning applications
Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem.
Forecasting is at the core of our commercial operation. Forecasting tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfil customer demand.
ABOUT THE TEAM
Department: Supply & Demand
Reports to: Engineering Lead
Team Size: <7
Recruiter: Almog Greenberg, almog.greenberg@zalando.de
For 60% of customers, good prices are the reason for choosing an online retailer. As a Data Specialist within Zalando’s Competitive Pricing team, you will have a direct and significant impact on our customers, revenues and profits, by making sure our offers across all markets and brands are attractively positioned. As part of our cross-functional agile team consisting of engineers and data scientists, you will automate pricing decisions based on our vast amount of crawled data as well as improve and develop pricing algorithms.
THE OPPORTUNITY
Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem.
Forecasting is at the core of our commercial operation. Forecasting tools help to determine how much of each product to buy, to recommend the best prices, and to ensure that we have the right level of logistics capacity to fulfil customer demand.
Als Analyst bist Du verantwortlich für die Pflege und Neukonzeptionierung von Business-Reports für interne und externe Shareholder. Bei der Neuentwicklung von Analysen hast Du freie Hand und kannst Deine Tools und Ideen voll einbringen. Weiterhin arbeitest Du eng mit dem Fachbereich zusammen, welcher für die Bereitstellung der Daten zuständig ist.
Sonstige Aufgaben:
Umbau und Verbesserung bestehender Reportings und AnalysenEntwicklung neuer KundenkampagnenInterpretation komplexer ZusammenhängeDirekte Präsentation von Analysen gegenüber dem KundenAuf- und Ausbau von Geschäftsprozessen bzw.
What you will do:
Design, develop, drive: Help us build state of the art data pipelines and processing flows for implementing machine learning models that support our core business.Use your brain (a lot): Use your experience, hands-on and can-do attitudes to solve complex problems in one of the most prolific engineering teams in the vast startup hub of Berlin (1600+ releases in 2017).Raise the bar: Your personal skill set and solid experience bring direct impact to our teams.
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.
THE OPPORTUNITY
Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem.
Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand.
THE OPPORTUNITY
Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics to big brands, to manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem.
Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand.