Customer Care Technology provides applications and support to our 4500+ customer specialists. These specialists serve Zalando's 50 million active customers to solve their problems by providing a frictionless experience. The Customer Care Technology team is seeking an Applied Scientist for a business-critical role. As an applied scientist in the Berlin based Machine Learning team, you will develop algorithms designed to improve customer experiences, working closely with the Product team and other peers to deliver solutions that align with business objectives.
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
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Provide Applied Science leadership for Customer Care department
Bring in your strong scientific experience to solve complex business problems by developing and deploying production systems
Understand Zalando and Customer Care organisation to provide the best business value using Applied Science
Conduct research in Natural Language Processing, Generative models and related fields
Communicate and Collaborate with peers, engineering and product leads and other business stakeholders to identify newer and better ways to solve customer problems
Engage with broader Zalando Applied science community, coach and mentor Applied Scientist in the team to raise the bar
Provide operational excellence by optimizing efficiency, cost, security, etc. You operate the software in production that your team is responsible for and respond to production incidents through creation of post mortems
WE’D LOVE TO MEET YOU IF
Masters or PhD in Computer Science, Engineering, or a related technical field.
Extensive research experience and expertise in natural language processing, deep learning, and related areas
Experience using various Large Language Models such as GPT, Vertex, Llama, etc.
Expertise in technical architectures of machine learning systems at scale
Quick experimentation, prototyping and production readiness of machine learning solutions
Coding experience in Python, and its libraries such as pandas, numpy, matplotlib, ML/DL frameworks such as sklearn, Tensorflow, Keras, Pytorch.
Hands-on experience with Docker, Git, AWS services, SQL, Databricks.
Attention to code quality by writing high-performance reusable code including various tests
Experience with performance benchmarking and testing of enterprise scale applications.
Proficiency in explaining details, benefits and impact of the projects to diverse audiences.
Strong communication and interpersonal skills to collaborate with team members and various stakeholders
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
Drive your development through our training platform and biannual peer-to-peer review
Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us
