Senior Applied Scientist (All Genders)

Berlin

Zalando

Shop the latest fashion & shoes online | Free delivery* & returns on most of the orders | Over 1,900 Brands – new products every day!

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THE ROLE & THE TEAM 

The mission of the Process Intelligence and Applied Science team is to analyse and improve Zalando’s internal processes through automation. Our products facilitate continuous process and workflow improvement, ML-based process automation and ML-based decision making.

As a (Senior) Applied Scientist you will help drive our scientific roadmap by applying your scientific capabilities to deliver projects in collaboration with other Applied Scientists, Software Engineers and Product Managers.

WHY YOU SHOULD BE INTERESTED…
  • Apply  your scientific problem solving skills by working on different classification, forecasting and anomaly detection problems

  • Develop long-term scientific roadmaps to address complex fashion challenges using state-of-the-art ML solutions, ensuring that we stay at the forefront of innovation

  • Apply research that leads to the development and improvement of innovative LLM-based chatbot solutions

  • Monitor and improve ML algorithms that run in production

  • Collaborate with engineers within our team, department and with business stakeholders across the company to bring the developed models to production 

WE’D LOVE TO MEET YOU IF…
  • A Master of Science or PhD with a focus on Data Science, Statistics, Mathematics or similar quantitative fields. Minimum of 5 years of industry experience.

  • Sound theoretical and applied knowledge about machine learning and statistics. Solid  coding  skills for prototyping and writing production-ready code. Strong experience with Python, including numerical packages (numpy), data handling (pandas), machine learning (scikit-learn)

  • Practical experience in deploying machine learning models into production (AWS, K8s, CI/CD, github, REST APIs)

  • Experience in working with Big Data technologies (Apache Spark/Databricks) and relational databases (e.g PostgreSQL)

  • Knowledge of RAG architecture and associated Python frameworks

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 up to 60% 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

Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us 

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. 

do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups


 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: APIs Architecture AWS Big Data Chatbots CI/CD Classification Databricks GitHub Kubernetes LLMs Machine Learning Mathematics ML models NumPy Pandas PhD PostgreSQL Prototyping Python RAG RDBMS Research Scikit-learn Spark Statistics

Perks/benefits: Career development Fitness / gym Health care Relocation support

Region: Europe
Country: Germany

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