Data Scientist / Machine Learning Engineer (m/w/d) Mobilfunk

CHECK24 is one of the leading online companies and Germany's largest comparison portal. And we continue to grow with you. Experience the dynamics and data diversity of e-commerce with agile processes, flat hierarchies and a steep development curve. Do you want to introduce your data science, machine learning and NLP knowledge and, together with an agile team, make our mobile comparison even better with modern technologies? Then you are right with us! We are looking forward to your application as Data Scientist / Machine Learning Engineer (m/w/d) at CHECK24 Comparator Portal Mobilfunk GmbH!

Promote themes: You are significantly involved in building up our Data Science area, automates related business processes and delivers customized results to our customers Independent implementation: You will create new machine learning services with a focus on recommendation and ranking systems, information extraction and predictions, including conception, data processing, model training and evaluation, and subsequent preparation for go-live Keep an overview: You manage your training experiments with modern MLOps frames like MLFlow and help lift our product to the next level Implementation: You integrate your models both in terms of content and technology into our product, using e.g. Cloud technologies (AWS) and in close cooperation with the development team You don't miss anything: you keep up with the latest developments in machine learning and consider your team how to use generic AI models such as Transformers or ChatGPT Teamwork and Coordination: You work in a cross-disciplinary team in direct collaboration with product managers, developers and business intelligence managers

Education: Very well completed studies e.g. in Data Science, (economic) informatics, mathematics, physics or statistics Professional experience: First practical experience in data science projects, preferably with first insights into ranking and recommendation systems Tools: Funded knowledge in Python Data Science Stack (Pandas, SKLearn, SciPy) and experience with Deep Learning Frameworks (Pytorch, Tensorflow) Smart solution finding: Creativity and curiosity in the application of the latest data science algorithms to optimize our products Interdisciplinary Mindset: Motivation for interdisciplinary work between IT and product management and knowledge sharing within the CHECK24 Data Science Community Language knowledge: Very good knowledge of German and English in word and writing

Modern work: Up to 40 days of paid vacation. You get 30 days of vacation and can also decide whether you work in the home office on Fridays, collect up to 10 extra days a year or choose a salary increase instead Personal growth: Individual development and further education through training and regular feedback talks and a personal training budget to identify and develop your strengths and potentials We appreciate your commitment: unlimited contracts with an attractive and performance-oriented salary package including annual premiums. Coupons for numerous CHECK24 products, approved occupational pensions, fitness cooperations (Urban Sports Club & EGYM Wellpass) and kita collaborations (furbish and pme family service) Good on the way: Our central location in Cologne allows easy access by public transport or bicycle – we offer you a 100% free Germany ticket & Your company bike leasing Here you can feel comfortable: Modern office with a wide range of drinks, a cereal and nut bar, fresh fruit and vegetables and three times a week free office lunch of regional caterers and monthly team hatches Your ideas are quickly implemented: independent, agile work in small teams with strong team spirit. Short decision-making procedures are of course for us We equip you with an ergonomic workstation with modern equipment (such as MacBook and two additional screens) and height-adjustable tables from your first working day We are also a great team next to work: numerous drinks and events for celebrations and networks as well as legendary summer and Christmas celebrations JOBV1_EN