Principal Applied Scientist - Personalization and recommendations, Machine Learning and Deep Learnin

03 Nov 2022
31 Dec 2022

The Personalization and Recommendations team creates tailored experiences for customers to provide them with fashion inspiration and support them in their fashion discovery journey. As a Principal Applied Scientist, you will be instrumental to tackle challenging fashion problems using state-of-the-art methods. You will help to drive our scientific roadmap, applying your scientific capabilities to deliver department-wide and cross-department projects in collaboration with several teams. You will work with science leaders and guide a group of exceptional scientists to develop algorithms and engineer cutting-edge machine-learning products that enhance the experience of our +49M customers.
  • Bring in your strong scientific experience in 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. Work across teams to create a state-of-the-art science stack that enables the product strategy and is a driver of ML architecture and design principles.
  • Develop scientific roadmaps to tackle challenging fashion problems with state-of-the-art solutions and to keep us innovative. Contribute to our scientific efforts with rigorous peer reviews and through publications at international conferences.
  • Mentor junior to senior scientists and actively collaborate with other teams and share knowledge and expertise within our talented applied science community.
  • Work closely with 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.
  • PhD or MSc (or comparative experience) in Computer Science, Mathematics, Statistics or Physics, with 6+ years of industry experience, with extensive experience within personalization, recommendations, ranking and machine learning and especially deep learning.
  • Experience developing long term research roadmaps and applying the scientific method to tackle research problems. Strong drive to partnering with product and science/engineering managers to connect and solve business problems with scientific solutions.
  • Extensive experience in tackling real world challenging problems using machine learning in the entire product cycle on large scale projects, from the problem analysis, data selection and literature screening to their production deployment, monitoring and maintenance.
  • Solid track record of publications in major machine learning, deep learning and data science conferences and journals. 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.
  • Expert in Python (Scala is a plus) and ML libraries such as sklearn, TensorFlow, or PyTorch, as well as experience with Spark and Cloud Computing frameworks (e.g., AWS).
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:
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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