Data Scientist – Machine Learning (m/f/d)

Do you want to do more with data than just create reports and analyses? Do you enjoy developing models that solve concrete problems and are ultimately used in production?
Then join our team at AERTiCKET and help us develop data-driven solutions and machine learning applications for various business areas. From analyzing large datasets and developing models to operationalization, you will be involved in the entire process and work closely with our specialist departments in data engineering, software development, and IT.

Your tasks

• Analyzing large datasets to identify relevant patterns, trends, and business opportunities
• Development, training, validation and optimization of machine learning models, e.g. for forecasting, classification, clustering and optimization tasks.
• Conducting model evaluations, experiments and analyses to continuously improve prediction quality
• Development of proof of concepts and transfer of suitable solutions into productive operation together with the participating teams.
• Support for deployment, monitoring, and retraining of machine learning models
• Ensuring data and model quality, including traceable documentation and ongoing monitoring
• Together with specialist departments, data engineering, software development and IT, you will identify and prioritize suitable use cases.
• You prepare analysis results and recommendations for action in an understandable way and present them to both technical and non-technical stakeholders.
• You keep an eye on current developments in the field of data science and machine learning and evaluate which technologies and approaches are suitable for our requirements.

• A completed degree, e.g. in computer science, mathematics, statistics or data science, or a comparable qualification with relevant practical experience.
• Several years of practical experience in the field of data science and machine learning, ideally about 3–5 years
• Excellent knowledge of Python and experience with relevant libraries and frameworks such as Pandas, NumPy, Scikit-Learn, TensorFlow or PyTorch
• Good knowledge of SQL as well as experience with data modeling and the processing of structured and unstructured data.
• A good understanding of statistics, probability theory, and methods for model evaluation.
• Practical experience with machine learning methods for forecasting, classification, clustering or optimization.
• Experience in handling large datasets as well as knowledge of modern data platforms and data pipelines
• Ideally, you have already used machine learning models in a productive environment and are familiar with deployment, monitoring, and retraining.
• You work analytically, in a structured and solution-oriented manner, and you can explain complex relationships in an understandable way.
• You communicate confidently in German and English.

• Work-life balance is important to us. That's why we offer a flexible home office arrangement in individual consultation with your team lead. Up to 30 days of workation per year are also possible.
• We not only offer the usual fruit basket, but also a free, freshly cooked lunch (organic and regional) from Monday to Friday in our own canteen at the Berlin location.
• We work in a centrally located loft office in Berlin Kreuzberg with plenty of space for shared exchange and networking.
• We will pay you a monthly public transport subsidy of 50 euros.
• We offer a subsidy for retirement savings.
• Your well-being is important to us: We have a masseur who comes to our office every week (massages including a subsidy from the employer) and we organize many joint team and company events, from bowling to summer parties to self-organized short trips.
• With us, you get industry-standard discounts for your weekend or family vacation (e.g., cheap flights, train tickets, hotel stays, or even entire vacation packages).
• Our sustainability team looks forward to your ideas for more sustainability and environmental protection in the company.