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Senior Data Scientist - Personalized Navigation

Employer
Zalando
Location
Dublin
Closing date
30 Jun 2022

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Function
Operations
Level
Senior Manager

Job Details

You will be a leading contributor in Data Science-thinking and strategizing rigorously and methodically about algorithmic capabilities that solve problems for tens of millions of customers and improve their online fashion shopping experience across all Zalando's markets.

As a Senior Applied Scientist in Zalando's Personalised Navigation team, you will be part of a cross-functional team of engineers and applied scientists that is contributing directly to how customers can discover and navigate Zalando's vast assortment, in a way that's deeply relevant and personal to them. You will be part of the entire lifecycle, from understanding the customer problem, to data exploration to designing models, deploying, testing and monitoring them. You'll help define and then own performance indicators for key parts of the customer journey.

This is a rare opportunity to take your expertise in data science and apply it to a product and online experiences used and loved by millions of people every day.
WHERE YOUR EXPERTISE IS NEEDED
  • 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 be 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 in international conferences.
  • Mentor junior scientists and actively collaborate with other teams and share knowledge and expertise within our talented applied science community.
  • Work closely with applied science leaders, software engineers, product managers and other business stakeholders to bring our state-of-the-art solutions to the customers and to discover and identify new opportunities.
WHAT WE'RE LOOKING FOR
  • A solid background (MSc or PhD degree) in a quantitative scientific discipline with a strong understanding of machine learning as well as end-to-end development lifecycle of data-driven products.
  • Proven academic or industrial track record in Machine Learning, Deep Learning, Recommender Systems, Computer Vision and Image Understanding, Probabilistic Generative Modelling and/or Natural Language Processing.
  • Solid software engineering skills, expert in Python (and relevant packages like numpy, scipy, pandas), experience in Cloud Computing services (e.g. AWS), Spark or PySpark
  • Proven industry experience with a state of the art deep learning framework such as PyTorch or TensorFlow
  • In-depth understanding of machine learning theory in one area, plus a broad overview of the other areas, ML methods in general, and knowledge of current ML literature
  • 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.
  • You have effective communication skills in English, with an ability to understand and translate business and user requirements across teams.
  • You are solution oriented, adaptable to change, and have a drive for continuous innovation.
  • Experience and competence in proactively working through uncertainty to bring clarity.
ADDITIONAL PREFERRED SKILLS
  • Experience with highly distributed, scalable and resilient software development with an understanding of an overlap between software engineering and applied science.
  • Solid track record of publications in major machine learning, deep learning and data science conferences and journals.
  • Experience working in cross-functional engineering and science teams within an international, agile environment
PERKS AT WORK
  • A workplace run on trust, empowerment and feedback; positive, inspiring working atmosphere
  • 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
  • Mentoring and personal development opportunities and an international team of experts
  • Relocation assistance for internationals, PME family service and parent & child rooms

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 23 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 45 million active customers through diverse skill-sets, interests and languages our teams choose to use.

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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