As Zalando transforms from Europe’s leading e-commerce company into a multi-service platform for fashion, this is an exciting time to join us. As [insert job title], you’re part of a high performing team, building technologies that connect every part of the fashion industry.
We live Radical Agility, a methodology built on trust and backed by an architecture that lets us move fast while keeping complexity low. Open Source and InnerSource development is integral to our engineering practices and culture, supported at every level.
When you can tackle new challenges and take ownership of your work, the opportunities to make a personal impact are limitless, and there’s always more to play for.
At Zalando Media Solutions we create meaningful connections between brands and consumers through a deep understanding of their personalities. We are working with brands, agencies and publishers from the fashion world and beyond to produce innovative, impactful campaigns that reach the right audience at the right moment. Thanks to its holistic mix of cutting-edge and privacy compliant technology, in-depth audience insights, expansive reach and compelling content, brands produce successful campaigns across multiple digital marketing channels.
As a Senior Research Engineer, you will make a leading contribution to our Data Science effort for our advertising products. You will develop state-of-the-art media buying algorithms as well as revolutionary consumer insight generation methodologies. You will contribute to the design and continuous improvement of our company-wide testing and optimization framework. You will act as a sparring partner for Business Owners and Product Development Leads to shape the Product vision and ensure the soundness and feasibility of our business models.
Impact. You drive team mastery in world-class data science approaches to deliver state-of-the-art Machine Learning models and algorithms that work well in our production systems. You champion testing and evidence based optimization.
Vision. You make leading contribution to the technical vision and architecture together with your team. You collaborate with Engineers, Scientists, Analysts, Product and Business Owners to develop ambitious product and technical strategy.
Mission. You’ll be part of company-wide effort towards a more data driven future. You lend your expertise to senior management on statistical topics. You will pioneer our ever sophisticating optimization approaches.
Ownership. You will be responsible for the performance of our models and algorithms. You will ensure our approach to data, testing and optimization is sound.
Data Science. Very strong track record in data driven optimizations. Expertise in Data Science, Machine Learning, Statistics. Experience with Deep Neural Networks, especially Recursive Neural Networks is strongly preferred.
Product. Ability to understand our clients and our business strategy. Sense of entrepreneurship. Expertise in product management and stakeholder management. Ability to facilitate collaboration between diverse contributors.
Technology. Hands-on technical background in reporting/analytics application and/or ETL/DWH development. Expertise in Data Science, Machine Learning is a plus. Experience in particular tech stacks are not important, but familiarity with open source technologies is a plus.
Leadership. Leading, coaching and mentoring software engineers and data scientists. 3+ years of experience as team lead working on complex data-driven products.
Passion. You are passionate and willing to take risks. You are determined to achieve the highest possible result.
Culture. A culture of trust, empowerment and feedback, 100+ internal guilds, tech talks, product demos, coder dojos.
Community. Tech culture of trust and empowerment, open-source commitment, meetups, game nights, +100 internal technical and fun guilds, tech talks, product demos, Coderdojos, parties, and events.
Perks. Competitive salary, 40% Zalando shopping discount, discounts from external partners, free drinks and fruit, and the hardware of your choice.
Development. Tour of Mastery, extensive onboarding, personal branding support, opportunity to attend and speak at conferences and Meetups, and encouragement to publish work.
Work Environment. Self-organized, autonomous teams and flexible working hours.
If you need guidance or have any questions about our hiring processes, please contact recruiter Steffen Volk