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Applied Scientist - ML - Retail Data Products

Employer
Zalando
Location
Berlin
Closing date
3 Nov 2021

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Job Details

Have you ever experienced the frustration that the size of the jeans you want to buy is out of stock? Do you want to know how we at Zalando tackle this problem? Come join us! We are a team of applied scientists and engineers aiming to provide a flawless shopping experience by always making available the right sizes for our customers, and to achieve unit economics by smart stock management. As the Applied Scientist in the Retail Data Products Team, you'll be working with other Data Scientists and stakeholders to build the ML solutions that help Zalando place the right orders for the right articles at the right time.

WHERE YOUR EXPERTISE IS NEEDED
  • Own the whole development cycle end to end, from exploring gaps in model performance to model production. Reduce abstract business requirements into manageable scientific problems
  • Proficient in analyzing data and building models with common tools like Python, R, Scala, SQL. Leveraging commonly used ML/optimization packages (e.g. sklearn, scipy) as well as deep learning frameworks to solve critical business problems. Derive insights and help steer the development of a product
  • Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, and enabling them to interact with our data products. Present scientific insights in plain words
  • Drive fast and iterative improvements to established models. Actively reduce uncertainty by forming/validating hypotheses in problem solving
  • Fostering an inclusive and diverse team environment

WHAT WE’RE LOOKING FOR
  • Master degree or above (PhD) in quantitative economics, statistics, mathematics, physics, computer science, machine learning or a related quantitative discipline
  • At least 3 years of industry experience (1 years with PhD degree) in building end-to-end machine learning products, using both statistical methods and machine/deep learning techniques. Strong mathematical background and analytical skills. Able to reduce research uncertainty and quickly converge to feasible solutions
  • Experience working with engineers to convert prototypes into production models. Industry experience in building deep learning solutions with PyTorch and Tensorflow. Experience using distributed computing frameworks such as Spark to leverage large datasets in order to drive business outcomes. Solid software development skill set (e.g. test driven development, strong documentation). Experience with AWS Sagemaker is a plus
  • Excellent verbal and written communication skills with a curious and self-starter mindset
  • Experience in Promoting inclusive cultural practices

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, PME family service and parent & child rooms* (*available in select locations)

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.

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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