Software Engineer /Machine Learning - Lounge by Zalando (all genders)

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ABOUT LOUNGE BY ZALANDO

Lounge by Zalando is an online outlet for fashion and lifestyle products in 17 European countries. We offer our members daily, time-limited sale campaigns with discounts of up to 75% off the recommended retail price. However, Lounge by Zalando is so much more than discounts. Our strength lies in our focus on fashion and lifestyle brands: from sought-after labels to niche brands, from famous international names to trendy luxury brands, we make sure to meet the fashion taste of all our customers, who are always on the hunt for the best products at the best prices. Working with our brand partners, we're pioneering innovative supply-chain and production processes and offer them an impactful and smart solution, creating a new way to shop for fashion - and a new way to sell it.

THE ROLE AND THE TEAM

As a Software Engineer in the Pricing, Product and Consumer Insights (PPCI) team, you will contribute and shape the development of ML forecasting models and data pipelines at Lounge by Zalando, following engineering best practices with a strong focus on operational excellence.

In close collaboration with applied scientists and other engineers you will build, develop and maintain a wide range of ML-based forecasting products throughout the assortment lifecycle. These models are used on a day-to-day basis in business processes to make major steering decisions that are crucial for the business.

You will have a unique opportunity to support key business processes and connect with exceptional talents with different backgrounds.

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:

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

Develop and support automated, scalable ML and data pipelines, ensuring they run reliably and are scheduled appropriately.

Build analytical and operational dashboards to enable your team and stakeholders to make data driven decisions.

Enable the experimentation on ML models.

Set up proper tooling to support best practices of ML model production, such as continuous integration/delivery, code/data quality, test coverage, etc.

You have 2+ years of professional work experience with Machine Learning pipelines and ML Ops.

You have strong programming skills in Python

You are proficient with state-of-the art software engineering practices

You have hands-on experience with relevant software technologies: Cloud infrastructure (ideally AWS & Kubernetes), relational database (Redshift). Experience with ETL, data warehouses or data lakes is a big plus (Airflow, DBT).

Experience with data analysis tools (e.g. Pandas, numpy, Plotly, Jupyter Notebooks, Databricks) is desirable.

Experience working closely with data scientists and machine learning engineers.

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

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 .

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