At the moment, we have over 150 scientists working on the application of ML, Econometrics, Data Science and Operations Research to all customer and partner-facing problems across Zalando.
The vast majority of these roles are in product groups working on the application in an area of eCommerce (e.g., pricing, search, recommendation, payments, but also Size & Fit and Outfits which are more fashion-specific) but also include roles in Zalando Research which are focused on research breakthroughs to enable future customer and partner experiences (strategic research).
This role is focused on (1) raising and setting the scientific bar and standards across all teams at Zalando including reviewing (and documenting) all existing research solutions, and (2) kick-starting new and strategic scientific projects that have a large amount of research risk through initial deep dives and prototyping (e.
g., simulation-based forecasts as opposed to pure pattern-matching based forecasts).
What this role is
In this role, you will report directly to the SVP, Builder Platform and Artificial Intelligence (AI). You will be responsible for the scientific bar across the whole company and be expected to have an in-depth understanding of all business-relevant algorithms used across business-critical Zalando systems.
This role operates across organizational boundaries and optimizes for the Zalando Group as a whole. It is a role that influences by demonstrating depth, delivering research results and building of prototypes, not through project or process management.
You will be the go-to person for all scientists and senior technical leaders at Zalando because of your deep and broad scientific expertise, and develop and operate mechanisms that establish and maintain a high standard of scientific documentation and reviewing of algorithmic solutions.
You will have one in-depth area where you are expected to work on a solution that not only unifies existing algorithm solutions but also advances the state-of-the-art.
This area will be reviewed every six months between you and the SVP, Builder Platform and AI, based on strategic priorities, current needs (e.
g., surfaced through senior technical leaders) and scientific advances. Such areas include forecasting, pricing, computer vision, natural language processing, real-time learning, search or algorithmic fairness & privacy.
In essence, you will spend some of your time on consulting and mentoring other scientists, but the majority of your time will be spent on advancing state-of-the-art research in a strategically important area.
You are not a people manager, but you will be expected to be influential across Zalando by constantly demonstrating scientific depth (in one area) and breadth (across all areas).
You will use scalable mechanisms to lead others and coordinate closely with the Principal Engineering community leaders at Zalando to ensure that scientific solutions end up in scalable software solutions.
What is expected of you
PERKS AT WORK
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills.
All employment is decided on the basis of qualifications, merit and business need.