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Senior Principal Applied Scientist - Digital Experience

Employer
Zalando
Location
Helsinki
Closing date
22 Oct 2021

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Function
Ecommerce
Level
Senior Manager

Job Details

The Digital Experience organization builds the actual customer experience of the Zalando Fashion Store largely driven by personalized content. We develop Machine Learning products that automatically tailor 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 Senior Principal Applied Scientist, you are not only advancing the machine learning algorithms that personalize the content selection in the Zalando applications but also work and advance on the economic areas of unified auctions that ensure a fair and healthy marketplace and long-term lift estimation. You are the go-to person for the whole organization when it comes to algorithm research, modelling and experimentation as well as translating successful research results in software products and services. You will employ a broad range of leadership mechanisms to influence applied science in algorithmic content selection at Zalando.

WHERE YOUR EXPERTISE IS NEEDED
  • Research challenging problems, such as improving the prediction of customer actions and real-time recommender systems, long-term lift estimation and unified auction design
  • Design and implement machine learning and allocation solutions and jointly deliver software solutions that improve the way our customers experience Fashion
  • Build products in collaboration with Product Managers, Software Engineers, Designers and Applied Scientists
  • Mentor Applied Scientists throughout the whole organization
  • Initiate impactful projects and create innovative technical concepts to solve challenging problems
  • Reinvent and change the way on-site content creation and selection is done at Zalando by driving the data and AI driven future

  • Create long term research roadmaps beyond isolated product boundaries
  • Raises best practices in scientific methods and applying science in all teams at the Helsinki tech hub and across Zalando


WHAT WE'RE LOOKING FOR

  • PhD (or comparative experience) in Statistics, Computer Science, Mathematics or other similar quantitative fields
  • Deep understanding of statistics, machine learning, and econometrics applied in a commercial context as well as knowledge of best practices in productionalizing machine learning systems
  • Experience with online learning, click-through-rate prediction, whole-page recommendation, contextual bandits, long-term lift estimation, causality or reinforcement learning is a plus.
  • Knowledge of big data technologies like Spark / Flink is an advantage, as well as experience with Cloud Computing frameworks (e.g., AWS)
  • Authority in your research area with an extensive track record advancing the research beyond the state of the art



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, 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 34 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.

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

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

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