Senior Principal Applied Scientist (all genders)

Senior Principal Applied Scientist (all genders)

Pay Competitive

Location Berlin/Berlin

Employment type Full-Time

Job Description

The Customer Pillar aspires to build outstanding customer experiences to support Zalando’s vision of being the starting point for fashion. Customer Pillar had important missions to drive initiatives critical for the vision as well as supporting other teams’ endeavors.

We deeply understand our customers, building engaging relationships with them and providing them with a tailored outstanding experience through digital platforms. We aspired to help the customers embrace who they are and get closer to who they want to be. We enable other groups in Zalando to serve our customers with their own initiatives while making sure the customer journey is seamless, remarkable, and inspiring through Customer Pillar specialised capabilities (search, browse, personalisation, recommendation, customer understanding, etc.)

As a Senior Principal Applied Scientist, you will shape, coach, and support a world-class product and technology team with great talents dedicated to improving customer experiences and serving customer needs.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.

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

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• Ensure the AI/ML solutions we build address the most important customer problems.
• Ensure our team has a thorough understanding of our model behavior.
• Coach our team on the right way of testing product features and iterations with our customers.
• Strengthen the understanding of Zalando customers and digital products.
• Raise the bar of the model life cycle, especially the data exploration, offline testing, online hypothesis testing (include A/B testing, but emphasis on other types of online testing).

WE’D LOVE TO MEET YOU IF

• Open-minded. Growth mindset. Exceptional fast learner. Team player. Technical leader. Knows how/when to lead and how/when to follow.
• PhD or Master degree in statistics or related areas.
• Expert in hypothesis testing, big and small data mining, business and product acumen, model prototyping, offline testing, model validation and monitoring.
• 8+ years of hands-on experience of large scale consumer facing digital products.
• Experience in at least one of the following areas: search, ranking, personalisation, recommendation.
• Strong affinity to data. Strong business and product acumen. Exceptional capability in translating customer problems into technical solutions.
• You possess excellent communication skills and you use them to move the company forward. You can present your ideas with clarity, verbally and in writing and facilitate decision making in a timely manner.

OUR OFFER

• Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.
• Employee shares program
• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
• 2 paid volunteering days a year
• Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
• Work from abroad for up to 30 working days a year
• 27 days of vacation a year to start
• Relocation assistance available (subject to prior agreement)
• Family services, including counseling and support
• Health and wellbeing options (including Gympass)
• Mental health support and coaching available
• Drive your development through our training platform and biannual peer-to-peer review