Job
- Level
- Experienced
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you develop machine learning models to analyze large datasets, identify trends, optimize processes, and closely collaborate with various departments.
Job Technologies
Your role in the team
- Do you want to do more with data than just reports and analyses? Do you enjoy developing models that solve specific questions and are actually used productively in the end? Then become part of our team at AERTiCKET and help us develop data-driven solutions and machine learning applications for various business areas.
- From analyzing large datasets to model development and operationalization, you oversee the entire process and work closely with our specialist departments, Data Engineering, Software Development, and IT.
- Analysis of large datasets to identify relevant patterns, trends, and business potentials.
- 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 transition of suitable solutions into production together with the involved teams.
- Support with deployment, monitoring, and retraining of machine learning models.
- Ensuring data and model quality, including traceable documentation and ongoing monitoring.
- Together with the specialist departments, Data Engineering, Software Development, and IT, you identify and prioritize suitable use cases.
- You prepare analysis results and recommendations for action in an understandable manner and present them to both technical and non-technical stakeholders.
- You keep an eye on current developments in Data Science and Machine Learning and assess which technologies and approaches are suitable for our requirements.
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Our expectations of you
Education
- A completed degree, e.g., in Computer Science, Mathematics, Statistics, or Data Science, or a comparable qualification with relevant practical experience.
Qualifications
- A good understanding of statistics, probability theory, and methods for model evaluation.
- Ideally, you have already deployed machine learning models in production and are familiar with deployment, monitoring, and retraining.
- You work analytically, in a structured manner, and solution-oriented, and you can explain complex relationships clearly.
- You communicate confidently in German and English.
Experience
- Several years of practical experience in Data Science and Machine Learning, ideally around 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.
- 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.
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What we offer
- Work-life balance is important to us. Therefore, we offer a flexible home office policy in individual agreement with your team lead.
- Up to 30 days of workation per year are also possible with us.
- We don't just 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 collaboration and networking.
- We pay you a monthly public transport subsidy of 50 euros.
- We offer a pension scheme subsidy.
- Your well-being is our priority: We have a massage therapist visit weekly (massage sessions including employer subsidy), and we organize many team and company events, from bowling and 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 complete holiday packages).
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
AERTiCKET AG
Die AERTiCKET GmbH ist der größte konzernunabhängige Flugticketgroßhändler in Deutschland. Wir versorgen Reisebüros, Reiseveranstalter und Internetportale mit Flugtickets von über 170 Airlines zu den bestmöglichen Preisen.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Sports, Leisure
Data Scientist - Machine Learning
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
