Zipjet

Zipjet is Europe's leading on-demand laundry & dry cleaning service, operating in London, Paris and Berlin. A provider of on-demand laundry and dry cleaning services intended to offer digital laundry services, the company's on-demand laundry and dry cleaning services include cleaning, ironing, washing and folding, providing its customers with high quality cleaning and turnaround in as little as six hours.

Zipjet Berlin, Germany
09/10/2018
Full time
Who we are Zipjet is Europe's leading on-demand laundry & dry cleaning service, operating in London, Paris and Berlin. We take the hassle of laundry off our customers’ hands, so they can spend more time doing the things they enjoy. To do this, we’ve created a cutting-edge, app-based service that allows our customers to have their laundry collected and delivered back to them in as little as 24 hours. Think of us as a remote control for your laundry pile! Our service is available on mobile apps (iOS & Android) and via our website. We strive for operational excellence and build solutions to serve large numbers of customer in a highly reliable and autonomous manner. We’re a young team of about 50 people across our three cities, with a great mix of previous professional experience. Our backgrounds are diverse, both culturally and professionally. One thing we all have in common, though, is that we are passionate about making Zipjet a success. About our Data Science team At Zipjet, data science is already omnipresent and was developed during the early stages of our company. We’re using it for different work streams, amongst others: the development of the routing algorithm for our driver fleets, demand predictions for the perfect match between supply and demand, as well as customer behaviour analysis. About the role As a Zipjet' Product Analyst - Data Scientist you play a key role with the different interfaces of the operations, marketing, finance and management teams. You use analytics and mathematical models  to bring new insights to the aforementioned teams and help them to take data-driven decisions. Improve inner city logistics by  Forecasting demand and providing recommendations for supply to reduce idleness of resources and number of lost orders.
 Introducing business parameters to forecast models.
 Developing tools for presenting recommendations to operations department.
 Help to improve customer experience by Analysing customer value and behaviour and coming up with personalized communication strategies.
 Predicting issues before they happen (customer churn analysis).
 Collaborate with every department by Reporting important KPIs Building insightful visualisations and dashboards, revealing and automating manual processes.
 What we are looking for You studied Computer Science, Applied Mathematics or equivalent.
 Experience with linear algebra, calculus, probability and statistics.
 Knowledge of algorithms.
 Knowledge of Machine Learning and Deep Learning algorithms.
 Experience with Data Analysis and Visualization.
 Experience with programming languages: R and Python, Java is a plus.
 Experience with relational and document-oriented databases.
 And needless to say you have very good communication skills, adapt easily, have a desire to teach and share your knowledge and are a highly motivated individual.
 Who you are As a professional in your field, you like to get your hands dirty making things work, setting your own goals, and doing your best to achieve them. You are self-motivated, like to satisfy your natural curiosity, and have the urge to complete your work the most efficient and correct way. When an idea comes to your head, you are enthusiastic to share the idea and put it into practice. You are not afraid to play around and build everything based on your vision. Finally, you really like what you are doing, and you’re able to enjoy the results of great teamwork and an excellent product. What we offer A setting that allows you to shape the essential parts of a business operation. Cutting edge technology allowing you to work with state-of-the-art tools and software solutions. The prospect of making people's lives a bit easier. A goal-oriented working atmosphere, in an international environment, with a flat hierarchy and an open-door policy. And yes, we are also offer free laundry, drinks, cereal, and regular team events, but we know that’s not the main reason you want to join us! Are you up for a challenge?  Let's wash some dirty laundry together!