Senior Applied Scientist - Zalando Fulfillment Solutions (All genders)

18 Jul 2022
17 Sep 2022
Inside Zalando Connected Network, we aim to provide our partners with a profitable fulfilment experience, and we see that to do this, Machine Learning, Operations Research and Data-driven solutions will play a pivotal role. We need Applied Scientists who are fueled by the desire to build innovative and impactful scientific and data driven products, and who do so with large amounts of data.

As a Senior Applied Scientist you will work closely with teams of Software Engineers and Product Managers and will be responsible for developing greenfield ML or OR solutions that integrate into ZFS' partner platform. Your forecasting and inventory optimization models will generate key insights for our partners to enable them to make data-driven decisions about their stock. You will have a key role in defining ZFS' Applied Science strategy, and helping leadership to identify new opportunities and use cases.
  • You will be joining a relatively new and growing team of Applied Scientists spearheading Applied Science within the Connected Network department. We trust your entrepreneurial capabilities.
  • Work together with our Product Managers to identify our partner's key needs and the most valuable use cases to address in our area using your experience as an Applied Scientist.
  • Identify and consolidate the department data sources and assist us to develop our long-term partner data oriented solutions.
  • Design, implement and maintain forecasting and inventory optimization solutions that will help our partners make informed decisions about their stock, their growth options and their monetization opportunities.
  • Define and monitor key performance metrics to measure our models' and solutions' performance and their evolution over time.
  • Educational background in a quantitative field: Masters degree or higher preferred.
  • 5+ years of experience solving applied scientific problems with at least 3 years in industry. You balance technical acumen with business understanding and excel in collaborating with product and business stakeholders to identify new product opportunities and drive existing use cases.
  • Experience owning end-to-end Data Science projects, with proven experience deploying and maintaining Machine Learning or Operation Research models in production environments
  • Comfortable using Python and with the ML software development lifecycle
  • Industry demonstrated knowledge and skills in at least one the following areas:
    • Data Engineering (querying and processing big volumes of data, SQL/Pyspark, building robust and scalable data pipelines)
    • Machine Learning Engineering (service design, batch processing, GPU computing, git, docker, CI/CD, software testing)
    • Machine Learning/Operations Research/Statistics (forecasting techniques, mathematical optimization, causal inference, inventory optimization)
  • A true team player who believes in the power of a group rather than individuals.
  • Excellent verbal and written communication skills with a detail oriented and self-starter mindset. You value a diverse and fast-paced business environment, and hence balance your passion for big data with pragmatism to drive actions and impact.
Career Development
  • We offer peer-to-peer performance reviews twice a year
  • Learn and develop through our extensive Zalando training platform
  • Join regular all-hands, team meetings, Q&A-sessions, and quarterly anonymous employee surveys to ask your questions and provide your feedback
  • Support from an international team of experts; mentoring and professional development opportunities

  • 2 days paid leave per year for volunteering
  • Minimum of 27 holiday days per calendar year
  • Online sports courses, wellbeing, and nutrition advice offered by Humanoo personal wellbeing coach app
  • Mental wellbeing support by our Employee Assistance Program and professional consultants to help you find health resources

  • Flexible working hours
  • 30 days/year of Work-From-Abroad at own discretion
  • Balanced work-from-home / work-from-office policy targeting the Zalando-wide 2 office-days per week guidance.
  • Relocation assistance for internationals
  • If you work from an office in your role, a choice of office equipment to be delivered to you, to support you working from home due to COVID-19 safety

  • Access to the employee shares program
  • 40% shopping discount on products shipped and sold by Zalando, and 30% discount on Zalando Lounge
  • Discounts from a wide range of external partners

  • Employee parents' forums and employee resource group
  • Supported transition into and out of parental leave, with a buddy and re-onboarding plan
  • 3 fully-paid child sick days per year
  • Free counselling, assistance, and referral service for all matters concerning yourself and your family via the F├╝rstenberg Institute
At Zalando, our vision is to be the starting point for fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.

We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.

do.BETTER - our diversity & inclusion strategy:

Our employee resource groups:
It's the perfect time to join Zalando on our journey, from being a pioneer in the world of e-commerce, to the starting point for fashion in Europe. We connect customers, brands, and partners across 23 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 46 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.

Our values:

do.More - our sustainability strategy:

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

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