Jobbeschreibung
To drive the future of e-commerce at the Otto Group headquarters in Hamburg, and to experience the innovative power of our Group. In the teams of the Otto Group functional areas, we successfully manage 123 national and international individual companies and develop the strategy of the Otto Group on a daily basis. Does that sound exciting? Then let's get started together.
At Otto Group data.works, we are passionate about innovation and pushing technological boundaries. Our department, consisting of around 35 tech enthusiasts, develops data and AI products for various Otto Group companies. Our product portfolio consists of chatbots, sales forecasting models, image generation solutions and many other products. We use both traditional machine learning methods (such as NLP, clustering, regression and classification) and the latest advances in generative AI (such as large language models and text-to-image).
Our small, agile teams consist of a Product Manager, Data Scientists and Data Engineers. Together we achieve fast and impactful results. We are responsible for the entire product lifecycle - from initial research and experimentation to development and operation in production. Each team member takes responsibility for the team's products.
At data.works, we value curiosity, creativity and collaboration. That's why we regularly organize hacking and innovation days to learn new technologies together. In our internal meetups, we share the latest data and AI trends and best practices to stay at the forefront of progress. In addition, we frequently contribute to the open source community and have released several packages, including skorch and bquest.
Our data pool integrates millions of clickstream events and backend data from over 50 Otto Group e-commerce stores every day. This robust foundation allows us to quickly develop impressive data products.
Many people talk about "home office" - we talk about "hybrid or mobile work": our teams decide together with their managers what balance of mobile working (remote) and on-site presence makes sense for them. Typically, the product teams meet in the office 1-2 times a week.
You are welcome to join us part-time (30 h/week).
Tech stack:
- Google Cloud Platform | Amazon Web Services
- SQL | Docker | GitHub | Terraform
- Python: Sklearn | Pytorch | Pandas
- From Ideas to Action: Translate ideas into prototypes and then into production using best practices from MLOps. This role goes beyond just modeling in Jupyter Notebooks. You will also be responsible for deploying and maintaining data science solutions and evolving our solutions.
- Unleash your innovative spirit: Immerse yourself in new technologies, be it in your daily tasks, special hacking days or sprints. We encourage a culture of active exploration to apply the latest advances and improve existing products or create new ones.
- Take ownership: Be responsible for features and products from inception to deployment. Your contributions will directly influence the success and further development of our solutions.
- Team-driven development: Influence our products and foster a collaborative culture through code reviews, pair programming and knowledge sharing.
- Stay up to date: Continuously update your skills and knowledge with the latest industry trends and technologies.
Not sure if the position is right for you? - We will be happy to put you in touch with Theresa Wohlsen from the specialist department. Would you like to experience your future team and workplace live? - You will have the opportunity to do so at a later date as part of your application process.
To get to know you and your skills better, you can expect a Python coding challenge during the application process.
Must-have:
- Sound knowledge of Python and basic SQL skills
- Ability to turn ideas into prototypes and then into production and take responsibility for all steps in the product lifecycle
- Extensive experience with specialized machine learning libraries to develop models with clean, scalable and production-ready code
- Extensive knowledge of statistical methods and algorithmic techniques and the ability to apply them to solve data problems
- Basic knowledge of cloud platforms such as GCP or AWS
- Agile mindset with motivation for continuous self and team development in a collaborative work environment
- Language level: German A2 (basic knowledge) and English C1 (proficient use of language)
Nice-to-have:
- First experience with LLMs, RAG and image generation using both commercial and open source models
- Experience with deploying models on cloud platforms such as GCP or AWS
- Experience with DevOps technologies such as Docker, Kubernetes and CI/CD
- Experience with cloud infrastructure-as-code (IaC) tools such as Terraform or AWS CloudFormation
- Specific knowledge in a machine learning area such as graph theory, model optimization, time series analysis, natural language processing (NLP) or clustering
- 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, possibility of 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, city bike stations
& many more benefits!
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