Senior Applied Scientist (Lounge) - Personal Relevance (m/w/d)

10 Jul 2020
05 Sep 2020
As a Senior Applied Scientist in the new algorithmic data products team for Zalando Lounge & Outlets, you will help lay the foundations for the first production personalization systems in Zalando Group's fastest growing business unit. As one of the first Applied Scientists on the ground, you will define, design and deliver solutions to help Lounge customers find offers that are relevant to their personal style and interests. Working closely with fellow applied scientists, product managers and engineers, you will have the unique opportunity to shape a brand new team with direct and visible impact on the customer.

  • You work as a senior research contributor in our team creating state-of-the-art production machine learning applications, systems and architecture. You're passionate about problem solving and don't mind getting your hands dirty.
  • You apply best of breed methods from research and industry to develop customer-oriented streaming machine learning solutions in collaboration with technical and business stakeholders.
  • You help our teams to develop, implement and maintain sustainable, high-performance, growth-ready data-processing and data integration systems.
  • You actively communicate and demonstrate machine learning concepts to a wide spectrum of practitioners such as design, product management and software engineering.
  • Act as an ambassador for data science within and outside the company.

  • Significant experience, deep knowledge and keen passion for developing and operating real-time machine learning applications at scale in a microservices environment.
  • In depth experience with machine learning related libraries and frameworks such as Spark, Tensorflow, Numpy, Scikit-Learn and Pytorch.
  • End-to-end experience with machine learning pipelines for customer facing use cases, including bringing data products live in a production environment, monitoring, data quality assurance, and A/B testing.
  • Ambitious in further optimizing and developing how machine learning and engineering work seamlessly together at scale.
  • Entrepreneurial and commercially minded attitude. You're passionate about building pragmatic, scalable solutions that deliver customer impact.
  • Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events
  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
  • Extensive onboarding, mentoring and personal development opportunities and an international team of experts
  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)

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.


Zalando is Europe's leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.


Zalando Lounge is an online shopping club for fashion and lifestyle products in 11 countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. Our strength lies in our focus on fashion: from sought-after labels to niche brands - we make sure to meet the fashion taste of all our customers. Working with our brand partners, we pioneer innovative supply-chain and production processes, and offer them an impactful and smart solution, creating a new way to shop for fashion - and a new way to sell it.

Please note that all applications must be completed in English using the online form - we do not accept applications via email.

Similar jobs

More searches like this

Similar jobs