Job Description
OTTO is one of Europe's most successful e-commerce companies. With more than 10 million items from over 7,000 brands, otto.de is now one of Germany's leading online shopping platforms. As a marketplace, we are constantly operating with brands and partners, so we keep growing. Resting? Not our thing! Not yours either? Then come on board - and shape the future of e-commerce with us.Diversity belongs to us like the river Elbe belongs to Hamburg: We stand up for openness, respect and tolerance. Let's set sail together - regardless of where you come from, who you love or what you believe in. Because you are unique and that's what we are looking for.
With us, you can contribute ideas and drive projects forward, get involved in networks for your heart's desire and actively shape our corporate culture. Trying something new, think in new ways, be innovative, go above and beyond your own borders - that's our mindset. Let's achieve great things together. Whether you work on campus or at home. Make OTTO your playground.
Drive the future of e-commerce with us: Search @otto.de is growing rapidly and needs you! We are investing in new technologies and in the further development of our otto.de platform to become the best e-commerce search in Germany.
Ranking products in the most relevant order for our customers is the goal of the Jarvis team. State-of-the-art data science models help us to find the most relevant product variants for each search term from over 18 million product variants. We share a love for pairing, trying out new technologies, playing fun (remote) games together and, as our team name suggests, the Marvel universe. You will be part of a team with a passion for innovation and developing good products and a lot of fun!
Many people talk about "home office" - we talk about "mobile work": our teams decide for themselves what balance of mobile working and on-site presence makes sense for them.
Tech stack:
Python | Pytorch | LightGBM | SQL | AWS | Linux | Apache Airflow
- You will develop and improve machine learning algorithms and models to optimize the ranking on otto.de, using both AI and rule-based approaches.
- You will be involved in the entire process from conception, modeling and live deployment and take responsibility for live operation.
- You will carry out feature engineering and implement models for delivery to our customers. You will focus on increasing customer satisfaction on otto.de.
- You are always up to date with the latest research in data science and AI in order to continuously develop the product vision and design innovative features.
- You will work closely with Product Managers, Software/Data Engineers & Data Analysts in a cross-functional team.
- You write clean, readable and maintainable code and work with agile methods such as Kanban, pair programming and test-driven development.
Not sure if the position is right for you? - We would be happy to put you in touch with Mika Wolle or Hendrik Wimmer from the specialist department. Would you like to experience your future team and workplace live? - As part of your application process, you will have the opportunity to
Must-have:
- You have a degree in data science, IT, mathematics or a comparable qualification.
- You have sound theoretical knowledge of machine learning algorithms such as GBDT or Transformers.
- You are proficient in common data science tools in Python and are familiar with frameworks such as PyTorch and TensorFlow
- You have practical knowledge of at least one cloud technology (AWS, Azure or GCP)
- You have experience in processing and analyzing large amounts of data with common tools such as Pandas, Polars or PySpark
- You have gained first practical experience with data science, either through projects or internships
- You are a team player who enjoys knowledge transfer and have an analytical and agile mindset
- Language level: German C1 (expert use of language), English B2 (independent use of language)
Nice-to-have:
- You have practical experience in software development and are familiar with concepts such as Test Driven Development and functional programming.
- You have experience in working with ranking or recommender systems.
- You are familiar with handling user data in the context of e-commerce.
- Work-life balance
Hybrid working model, activity-based working, flexible working hours (flexitime), 37.5-hour week, 30 vacation days, workation and sabbatical option - Remuneration & additional benefits
Vacation and Christmas bonus, 15% staff discount as well as numerous benefits & employee offers (e.g. events, travel), pension schemes, opportunity for capital participation, relocation offer - Professional & personal development
2-week onboarding, further training opportunities such as the OTTO Academy, digital learning platforms - including a master plan, coaching & mentoring, job shadowing, development programs, management and expert career paths, option to participate in specialist conferences - Health & well-being
Over 30 company sports, meditation room, mindfulness and stress management courses, offers for parents, company medical & psychosocial counseling - Culture & collaboration
Communities & networks, coworking & social spaces, leading principles, regular employee surveys, free hot drinks and a wide range of food - including vegan food, parcel shop - Mobility
Germany ticket for €30, free parking spaces, e-charging stations, car services, city bike stations
& many more benefits!
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