Aartificial intelligence, Framework, MLOps tools, Pandas, PySpark, PyTorch, Scikit-learn, TensorFlow, XGBoost
THE ROLE & THE TEAM
One of the main drivers for conversion in online retail is the delivery promise, informing fashion customers about when they can expect their shipment to arrive. Our team owns the predictions of processing times for all the paths in the complex fulfillment network on which this delivery promise is based. Improving the precision of these predictions has a huge impact on customer satisfaction, allows better fulfillment planning, and enables the business to make better-informed tradeoff decisions.
Our team is composed of applied scientists and software engineers. As an applied scientist, you’ll design, train, extend, and continuously improve prediction models based on features extracted from diverse datasets produced by high-throughput systems. You’ll do so in close collaboration with the software engineers in your team, who are responsible for building best in class services and infrastructure for experimentation and applying these models in production. A significant part of your role will be to research new opportunities and work closely with stakeholders to understand the underlying business processes and model them in the best possible way to feed into our models.
If you have a passion for creating prediction models at scale and solving complex problems, we want to hear from you. This is a unique opportunity to make a real impact and help drive the success of our business.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups
WHAT WE'D LOVE YOU TO DO (AND LOVE DOING)
Contribute to modeling, solving, and implementing prediction models within our research-driven software framework to cater for the increasing scale and load and novel use cases. Constantly question the model and the algorithms we use and seek for a constant improvement.
Involve yourself in our ongoing research roadmap to discover future opportunities.
Deliver end-to-end solutions and set the standard for the entire development cycle, including requirement engineering based on deep domain & business understanding, prototyping, implementing production software, as well as testing and operating the highly available production system.
Collaborate closely with our software engineers to mutually influence and understand system constraints and opportunities, and take part in shaping the future of our system.
Think abstractly and discover correlations between problems, methodologies, and solutions.
Promote and support an inclusive culture and diverse team environment, fostering a positive and productive work environment for all team members.
WE'D LOVE TO MEET YOU IF...
OUR OFFER
Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
Zalando SE is a publicly traded German online retailer of shoes, fashion and beauty. The company was founded in 2008 by David Schneider and Robert Gentz and has more than 48 million active users in 23 European markets.
Berlin, Germany
2-4 year
Berlin, Germany
2-4 year
Berlin, Germany
2-4 year
Berlin, Germany
2-4 year
Berlin, Germany
4-6 year
Berlin, Germany
2-4 year
Berlin, Germany
2-4 year
Berlin, Germany
4-6 year