Hybrid Data Scientist / Machine Learning Engineer

at Zero to One Search | Recruitment Agency

• Job title: Data Scientist / Machine Learning Engineer
• Job type: Full Time
• Experience level: Junior
• Salary: €60,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Pandas, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Koln, Germany

About the role

• Data Scientist/ Machine Learning Engineer for a digital product company in Cologne. Focus on building solutions for recommendation systems and machine learning services.

Responsibilities

• 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.