Senior Applied Scientist

Zalando SE; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

Join Zalando's Consumer Insight & Segmentation team as a Senior Data Analyst to improve customer experiences through advanced Machine Learning. In this role, mentor others, develop long-term solutions, and collaborate closely with researchers while enjoying flexible working arrangements and a rich benefits package.

Leistungen

Employee shares program

40% off fashion and beauty products

40% off Zalando Lounge

Two paid volunteering days a year

Work from abroad for up to 30 working days a year

27 days of vacation per year

Health and wellbeing options

Mental health support and coaching

Qualifikationen

• 5+ years experience in Machine Learning, preferably in CRM/Personalization.
• Strong skills in building architecture and evolving algorithms.

Aufgaben

• Mentor mid-level Applied Scientists and Senior Data Analysts.
• Advance Machine Learning setup and enable effective customer communication.
• Proactively identify areas of improvement and drive implementations.

Kenntnisse

Problem Solving

Machine Learning

Python

Data Handling

Ausbildung

Masters Degree in Applied Science or Computer Science

Tools

Spark

Jobbeschreibung

You will be part of the Consumer Insight & Segmentation team. As part of the Lounge by Zalando marketing department, our mission is to improve the understanding of our customers and apply insights gained to further improve our customer experience. Join a team of Data Analysts and Scientists working on topics such as CRM Personalisation, Experimentation and Quasi-Experimental Research, that directly impact our Marketing teams’ daily work and help elevate our customer communication to the next level.

What you will do

Mentor mid-level Applied Scientists and Senior Data Analysts who can learn from your experience.

Together with the team, you will advance our Machine Learning setup and enable customer lifecycle communication at every step of their journey using advanced machine learning techniques to determine the optimal content, timing, delivery method, and target audience for each interaction.

Be an integral part of the team, working alongside with researchers and apply their findings in real world.

Proactively identify areas of improvement, drive implementations and bring solutions forward.

Develop long-term solutions for whole research-related business problems, such as Uplift Modelling.

What we are looking for

Masters Degree in Applied Science, Computer Science or a similar field.

At least 5 years of work experience in the field of Machine Learning, preferably in the field of CRM and/or Personalisation.

Strong ability in solving real-world problems using machine learning throughout the product cycle, spanning from improving department level best practices, advancing technology, to building architecture and evolve algorithms.

Skilled at transferring scientific methods into comprehensive reproducible code.

Experience with developing and applying Uplift Modelling and Next Best Actions in the context of customer communication.

Profound knowledge of Python in daily practice and experience handling vast amounts of data using distributed systems such as Spark.

You see yourself as part of a team, fostering collaboration and providing support to the team.

Fluent in English; basic knowledge of German is a plus.

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.

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 (for Zalando SE)

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

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 25 markets.

Help us drive digital and sustainable solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to 50 million active customers through a team of diverse skill-sets, cultural backgrounds, and interests.