Senior Applied Scientist - Supply Insights

19 Jan 2022
05 May 2022
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 making the right sizes always available for our customers, and to achieve unit economics by smart stock management. As the Senior Applied Scientist in the Retail Data Products Team, you'll be working with other Data Scientists and stakeholders to build the next-gen ML models that help Zalando place the right orders for the right articles at the right time.

  • Actively contribute to the team roadmap, and work closely with product managers and engineers to identify areas of opportunity and resource requirements to deliver impactful products
  • Design and present key metrics that drive business insights. Communicate verbally and in writing to stakeholders with various levels of technical knowledge, educating them about our systems, and enabling them to interact with our data/model products
  • Be the owner of the whole development cycle of algorithms - from opportunity discovery to production. Iteratively improve models and explore the art of possibility (e.g. new data sources, new ways of structuring the problem)
  • Be the technical champion in the team and mentor junior team members
  • Fostering an inclusive and diverse team environment

  • Master degree or above (PhD) in machine learning, quantitative economics, statistics, mathematics, physics, operation research or a related quantitative discipline.
  • At least 4 years of industry experience (2 years with PhD degree) in developing e2e ML solutions (from conceptualisation to prototype).
  • Strong programming skills. Experience in collaborating with engineers to convert prototypes into production model pipelines. Experience using distributed computing frameworks such as Spark to leverage large datasets in order to drive business outcomes.
  • Excellent verbal and written communication skills with a curious and self-starter mindset. Ability to unblock yourself, but also proactively request support when needed to remove roadblocks
  • Experience in Promoting inclusive cultural practices

  • 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 the team:

As the In-Season Management and Data Products team, we support this vision by ensuring relevant assortment is available to our customers and providing a great shopping experience. We want to achieve high product availability to minimize lost sales while controlling for overstock/underperformance to increase profitability.

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