You create new machine learning services with a focus on recommendation and ranking systems, information extraction and predictions, including conceptualization, data preparation, model training and evaluation, and subsequent preparation for go-live.
You manage your training experiments with modern MLOps frameworks such as MLFlow, helping to take their product to the next level.
You integrate your models into their product both in terms of content and technology, using cloud technologies (AWS), for example, and in close collaboration with the development team.
You keep up to date with the latest developments in the field of machine learning.
You will work in a cross-disciplinary team in direct collaboration with product managers, developers and business intelligence managers.

Requirements

Very good degree, e.g. in data science, (business) informatics, mathematics, physics or statistics.
First practical professional experience in data science projects, preferably with first insights into ranking and recommendation systems.
Sound knowledge of the Python data science stack (Pandas, SKLearn, SciPy) as well as experience with deep learning frameworks (Pytorch, Tensorflow).
Creativity and curiosity in applying the latest algorithms from the field of data science to optimize their products.
Motivation for interdisciplinary work between IT and product management and for knowledge exchange within the company’s Data Science Community.
Very good written and spoken German and English skills.

Benefits

Flexible working time model with three days per week in the office and two days flexibly from the office or from home.
Personal growth: they support your development with further training and regular feedback meetings to recognize and develop your strengths and potential.
Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses.
Fitness cooperations, subsidized company bicycle leasing, etc.
Independent, agile work in small teams with a strong team spirit.
Short decision-making processes.
Ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks, from your first day at work.
And much more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningrecommendation systemsranking systemsinformation extractiondata preparationmodel trainingmodel evaluationPythondeep learningdata science

Soft Skills

creativitycuriositymotivationinterdisciplinary collaborationknowledge exchange

Certifications

degree in data sciencedegree in informaticsdegree in mathematicsdegree in physicsdegree in statistics