Principal ML Software Engineer - Lounge by Zalando (all genders)

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 & THE TEAMAs a Principal 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 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 have impact and connect with exceptional talents with many different backgrounds.INCLUSIVE BY DESIGNAt Zalando, our vision is to be inclusive by design. And this vision starts with ourhiring – 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 Website strategyOur employee resource groups: Website employee-resource-groupsWHAT WE’D LOVE YOU TO DO (AND LOVE DOING)Lead technical development of existing and new ML forecasting models and data. pipelines, combining hands-on contributions to the code base with guidance of others.Translate business needs to product development roadmap and prioritize delivery.Regularly communicate with stakeholders to address queries about forecast performance and align expectations.Work closely with applied science and engineering leaders, product managers, designers and commercial stakeholders.Mentor junior to senior engineers and actively collaborate with other teams. Share knowledge and expertise within our talented engineering and science community.Ensure the implementation of a state-of-the-art software development methodology and cultivate best practices of software development.5+ years of professional work experience with Data and Machine Learning pipelines and are an ML Ops expert.Experience with responsibility for delivery of automated ML products that run routinely, 24/7.Experience in building complete product experiences using supervised learning.Strong programming skills in Python.Proficient with state-of-the art software engineering practices.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.Strong advocacy for agile processes, operational excellence, and adherence to coding best practices.OUR OFFERZalando 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 program40% off fashion and beauty products sold and shipped by Zalando, 30% offZalando Lounge, discounts from external partners2 paid volunteering days a yearHybrid working model with 60% (or more) remote per week, actual practice isup to each team to best support their collaborationWork from abroad for up to 30 working days a year27 days of vacation a year to startRelocation assistance available (subject to prior agreement)Family services, including counseling and supportHealth and wellbeing options (including Gympass)Mental health support and coaching availableDrive your development through our training platform and biannual peer-to-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 . #J-18808-Ljbffr