Applied Science Manager - Style Advice

03 May 2022
26 Jul 2022
The Style Advice team create experiences which aim to redefine fashion inspiration by providing high quality, personalized, engaging and inspiring content for millions of customers and making Zalando be the go-to style companion everywhere in Europe.

As an Applied Science Manager, you will lead a team of exceptional scientists and engineers that develop algorithms and engineer cutting-edge machine learning and deep learning products that enhance the experience of our +42M customers. You will be responsible for ensuring successful design, development, testing, experimentation, and the operations of algorithms, datasets, and systems your team owns, delivering department-wide and cross-department projects in collaboration with several teams. You will work with other science and engineering leaders, product managers and other stakeholders to make sure that we are investing in the right opportunities. You are a strong people leader who will effectively coach a cross functional applied science science team and will help to develop, coach and grow our talented group of scientists.
At Zalando, our vision is to be the starting point for fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy:

Our employee resource groups:
  • You'll bring in your strong scientific and leading experience in managing teams to researching, deploying and architecting machine learning (ML) and deep learning (DL) based solutions in areas such as recommendations to help our millions of customers in their inspiration journey.
  • You'll manage a healthy, high performing delivery team of scientists, providing direction and context on topics such as customer impact and business requirements, and overseeing all aspects of the delivery lifecycle: design, experimentation, implementation, and testing. Coach the team to formulate long term research plans that create customer impact in challenging fashion problems, such as outfit generation, with state-of-the-art solutions.
  • You'll empower the team to stay up-to-date with the latest research and how to apply it into our area. Contribute to our scientific efforts with rigorous peer reviews and through publications in international conferences.
  • You'll scale up, manage and mentor other junior and senior scientists, reviewing and guiding their work and provide them with constructive and actionable feedback. Help us through hiring to keep on bringing talented scientists to the team.
  • You'll work closely with other applied science leaders, product managers and other business stakeholders to bring our state-of-the-art solutions to the customers and to discover and identify new opportunities.
  • You have a PhD or MSc (or comparative experience) in Computer Science, Mathematics, Statistics or Physics, with extensive experience in research and industry, and leading teams to deliver large scale machine learning and deep learning projects in production.
  • You have experience developing and coaching teams to generate long term research roadmaps and applying the scientific method to tackle research problems. Strong drive and entrepreneurial spirit to partnering with product, science/engineering managers and principals to connect and solve business problems with scientific solutions.
  • You have outstanding technical skills and deep understanding of the theory behind the state-of-the-art methods in your domain as well as a broad overview of machine learning and deep learning methods and best practices in their application.
  • In addition to technical depth, you bring exceptional project management and communication skills, and experience in successfully leading and coaching scientists, as well as hiring.
Career Development
  • We offer peer-to-peer performance reviews twice a year
  • Learn and develop through our extensive Zalando training platform
  • Join regular all-hands, team meetings, Q&A-sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
  • Support from an international team of experts; mentoring and professional development opportunities

  • 2 days paid leave per year for volunteering
  • Minimum of 27 holiday days per calendar year
  • Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
  • Mental wellbeing support by our Employee Assistance Program and professional consultants to help you find health resources

  • Flexible working hours
  • Relocation assistance available for internationals
  • Home office equipment available for hybrid working, to support you working from home
  • Hybrid working model with 60% remote per week
  • Opportunity to work from abroad for 30 (working) days per calendar year

  • Access to the employee shares program
  • 40% shopping discount on products shipped and sold by Zalando, and 30% discount on Zalando Lounge
  • Discounts from a wide range of external partners

  • Employee parents’ forums and employee resource group
  • Supported transition into and out of parental leave, with a buddy and re-onboarding plan
  • 3 fully-paid child sick days per year
  • Free counselling, assistance, and referral service for all matters concerning yourself and your family via the Fürstenberg Institute
It’s the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the starting point for fashion in Europe. We connect customers, brands, and partners across 23 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 46 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.

Our values:

do.More - our sustainability strategy:

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

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