Skip to main content

This job has expired

Head of Applied Science - Home & Content Visibility

Employer
Zalando
Location
Helsinki
Closing date
2 May 2022

View more

Function
Editorial & Media
Level
Manager

Job Details

Home & Content Visibility takes our customers on a digital fashion journey with tailored experience. We develop Machine Learning products that automatically personalize the digital content in Zalando's apps for each of our 30+ million customers. Our real-time recommendation and auction systems are blending content from internal offers with content from our fashion partners to create an engaging and inspirational customer experience. Our algorithmic systems are designed to optimize for the whole customer lifetime rather than an immediate interaction.

As a Head of Applied Science, you will build and lead teams of applied machine learning scientists and data analysts to develop and deploy scalable personalization and auction algorithms. You will provide a clear vision and strategy for Applied Science in our department as well as bring in the mindset working backwards from customer experience to leverage machine learning. Your contributions are expected to help shape Zalando's overall Applied Science community consisting of more than 150 scientific experts. You will be the leading expert that product teams turn to for leadership on scientific topics and technical expertise.


WHERE YOUR EXPERTISE IS NEEDED

  • Develop and execute mid- & long-term vision and architectural direction to create highly scalable solutions in the domains of personalization and econometrics.
  • Uncover areas of investments to increase personalization, diversity and economical impact.
  • Lead research and solution development to challenging problems, such as improving the prediction of customer actions and real-time recommender systems, long-term lift estimation and unified auction design.
  • Attract, onboard, develop and retain diverse scientific talent to your team and transform the landscape of Zalando's Visibility Marketplace. Also, drive and build healthy inclusive teams promoting diversity.
  • Build products in collaboration with Product Managers, Software Engineers, Designers and Applied Scientists.


WHAT WE'RE LOOKING FOR

  • A solid background (MSc, PhD or comparative experience) in a quantitative scientific discipline with a strong understanding of statistics, machine learning, and econometrics applied in a commercial context of end-to-end development lifecycle of data-driven products.
  • Significant experience leading and developing cross-functional engineering and science teams. You have effective communication skills in English, with an ability to understand and translate business and user requirements across teams.
  • Experience with highly distributed, scalable and resilient software development with an understanding of an overlap between software engineering and applied science.
  • Experience with online learning, click-through-rate prediction, whole-page recommendation, contextual bandits, long-term lift estimation, causality or reinforcement learning is a plus.
  • Focus on people, maintaining trustful relationships with your teams, leading them and setting a high standard as an example.


PERKS AT WORK

  • 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

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.


ABOUT ZALANDO


Zalando is Europe's leading online platform for fashion and lifestyle, 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 26 million active customers through diverse skill-sets, interests and languages our teams choose to use. Zalando Research is an incubator for scientific experimentation and innovation, collaborating with industry partners and the greater academic community. With an emphasis on Machine Learning and AI, our research is derived from the daily challenges we face at Zalando Tech, putting the customer at the forefront of our thinking.

Teams at our Helsinki Tech Hub work on many of the cornerstones of our Fashion Store, including personalization and social fashion influencing components. Through full stack engineering and research, we turn visionary ideas into new emerging businesses with real potential. By tackling the most challenging problems for the fashion industry, we drive the personal digital experience and underlying knowledge models to create the most inspirational fashion experience for our customers.

Company

Zalando is Europe’s leading online platform for fashion and lifestyle. Founded in Berlin in 2008, we bring head-to-toe fashion to 35 million active customers in 17 markets, offering clothing, footwear, accessories and beauty from over 3,000 international brands.

Our platform is a one-stop fashion destination for inspiration, innovation and interaction. As Europe’s most fashionable tech company, we work hard to find digital solutions for every aspect of the fashion journey: for our customers, partners and every valuable player in the Zalando story.

Our goal is to become the starting point for fashion. We focus on the fashion industry and therefore operate in a variety of business areas.

  • Fashion Store
    Zalando online shops are tailored to local customers’ needs in 17 different European markets. The range extends from renowned global brands and fast fashion to local brands and is supplemented by our private labels.
     
  • Offprice
    The Offprice business of Zalando serves the sale of previous season’s assortments. As part of a shopping club, the Zalando Lounge offers registered members exclusive sales campaigns at discounted prices.
     
  • Zalando's Private Labels
    Zalando’s private label assortment includes shoes, clothing and accessories for women, men and children. With a total of six private labels, Zalando creates its own products, covering the entire value chain from design to sales.
     
  • Zalon
    Zalon is our style advice service, via which customers can consult and get inspiration from selected stylists regarding individualized purchases.
     
  • Zalando Marketing Services
    The entirety of Zalando’s expertise and scope is bundled in Zalando Marketing Services, which now offers personalized marketing solutions for our brand partners.
     
  • Zalando Fulfilment Solutions
    Zalando makes its own logistics capabilities available to external partners, so they do not have to be concerned with infrastructure issues but can concentrate fully on their core competence in the fashion business.
     
  • Zalando Partner Services
    Zalando helps other players in the industry to be successful in the digital world. For example, by connecting warehouse stocks with multiple retailers, by digitizing processes involved in fashion wholesale and by integrating offline businesses into our Zalando platform.


With a strong workforce of around 14,000 employees of over 130 different nationalities, Zalando unites diverse people, capabilities and concepts. Consolidating our effort and ideas scales our impact as an innovator in Fashion, Technology, Digital Marketing and Logistics Operations.

Company info
Website
Telephone
+49 (0)30 2759 4693
Location
Zalando SE
Valeska-Gert-Straße 5
Berlin
Germany
10243
Germany

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert