Data Scientist (mfd)

About your tasks:

• Improve product recommendations in our webshop and app analysing customer behaviour and product data to make recommendation widgets more relevant and useful. 

• Develop and refine recommendation models engineering relevant features and applying state-of-the-art machine learning approaches. 

• Work on end-to-end Data Science initiatives partnering closely with Product Managers ML Engineers Data Engineers ML Ops and domain experts to translate product questions into hypotheses and practical improvements. 

• Design analyse and interpret A/B tests to measure the impact of recommendation changes. Define success metrics and guardrails assess statistical uncertainty and turn results into clear recommendations for the product team. 

• Contribute across the full project lifecycle from data exploration and experimentation through to implementation productionizing monitoring and continuous improvement with support from your colleagues. 

Qualifications :

About you:

• You have practical experience developing machine learning models including data preparation feature engineering modelling and evaluation. 

• You have strong Python and SQL skills and write clear structured code that others can work with. You are familiar with Git and practices such as testing and reproducible development. 

• You understand how to develop models for production including reproducible training reliable data pipelines and the trade-offs between model quality scalability and maintainability. 

• You have practical expertise in A/B testing and experimental design including metric selection statistical power and interpreting results. 

• You have a solid understanding of recommendation systems and relevant machine learning approaches such as collaborative filtering ranking models or embeddings. 

• You enjoy working iteratively in a cross-functional product team translating business goals into workable solutions delivering improvements in manageable steps and refining models based on experiment results and production performance. 

Additional Information :

About your benefits:

In order to provide you with the best possible support for your individual needs - whether its living a healthy life having enough time for your family or developing your skills - we offer a wide range of different site-specific benefits: 

• Work from Home: If your job does not require you to be present in the office we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. 

• Personal development: Grow! We support and encourage your individual development through various in- and external trainings. 

• Vacation: 30 days paid vacation per annum (plus another day on Rosenmontag) and the option to take unpaid vacation of up to 10 days (after one year working with us). 

• Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club so that you can take advantage of a huge variety of sport offers. 

• Redcare events: We promote teambuilding through creative team events and celebrate our successes together at regularly scheduled parties. 

Remote Work :

Yes

Employment Type :

Full-time