Senior Applied Scientist (all genders)

Zalando GmbH; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading fashion e-commerce company in Berlin is seeking a Machine Learning Expert to mentor team members and advance customer lifecycle communication. The role requires a Master's degree, 5+ years in Machine Learning, and proficiency in Python and Spark. Join a team dedicated to enhancing customer experience through data-driven insights using advanced methods.

Leistungen

Employee shares program

40% off fashion and beauty products

2 paid volunteering days a year

Hybrid working model

Work from abroad for up to 30 days

27 days of vacation a year

Health and wellbeing options

Qualifikationen

• 5+ years of work experience in Machine Learning, especially in CRM and Personalisation.
• Strong problem-solving abilities using machine learning techniques.
• Experience in Uplift Modelling and Next Best Actions.
• Fluent in English; basic knowledge of German is a plus.

Aufgaben

• Mentor mid-level Applied Scientists and Senior Data Analysts.
• Advance Machine Learning setup for customer lifecycle communication.
• Identify areas for improvement and implement solutions.
• Develop long-term research-related business solutions.

Kenntnisse

Machine Learning

Collaboration

Problem Solving

Coding in Python

Data Handling with Spark

Ausbildung

Master's Degree in Applied Science or Computer Science

Tools

Spark

Python

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

Please note that all applications from this job page must be completed using the online form - we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).

In some cases we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.

If you have any questions about our recruitment process, please take a look at our FAQ page .

About Zalando

It’s the perfect time to join Zalando on our journey to build the leading pan-European ecosystem for fashion and lifestyle e-commerce. Help us offer an inspiring and quality multi-brand shopping experience for fashion and lifestyle products to about 52 million active customers in 26 markets. Or be part of our logistic infrastructure, software or service capabilities to help brands and retailers run and scale their entire e-commerce business, on or off Zalando. Join our Zalando ecosystem, to enable positive change for the fashion and lifestyle industry.