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

AERTiCKET·Salary not specified

Primary stack

PythonPandasNumPyScikit-learnTensorFlowPyTorchSQLMachine Learning

Nice to have's

Cloud Monitoring

Job description

About the Position

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

Standort: Berlin Boppstr.

Festanstellung, Vollzeit

We are looking for a Data Scientist – Machine Learning to join our team at AERTiCKET. If you want to do more with data than just reports and analyses, and you enjoy developing models that solve concrete questions and are actually deployed in production, then become part of our team. You will support us in developing data-driven solutions and machine learning applications for various business areas. From analyzing large amounts of data to model development and operationalization, you will accompany the entire process and work closely with our departments, data engineering, software development, and IT.

Responsibilities

  • 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 for continuous improvement of prediction quality
  • Development of proofs of concept and transitioning suitable solutions into production together with the involved teams
  • Support in deployment, monitoring, and retraining of machine learning models
  • Ensuring data and model quality, including traceable documentation and ongoing monitoring
  • Together with departments, data engineering, software development, and IT, you will identify and prioritize suitable use cases
  • You will prepare and present analysis results and recommendations in an understandable manner to both technical and non-technical stakeholders
  • You will keep track of current developments in data science and machine learning and evaluate which technologies and approaches make sense for our requirements

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 data science and machine learning, ideally around 3–5 years
  • Very good knowledge of Python and experience with relevant libraries and frameworks such as Pandas, NumPy, Scikit-Learn, TensorFlow, or PyTorch
  • Good knowledge of SQL and 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 with handling large datasets and knowledge of modern data platforms and data pipelines
  • Ideally, you have already deployed machine learning models in production and are familiar with deployment, monitoring, and retraining
  • You work analytically, structured, and solution-oriented, and can explain complex relationships in an understandable way
  • You communicate confidently in German and English

We Offer

  • Work-life balance is important to us. Therefore, 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 offer more than just the usual fruit basket but a free, freshly cooked lunch (organic and regional) in our own canteen in Berlin from Monday to Friday.
  • We work in a centrally located loft office in Berlin Kreuzberg with plenty of space for exchange and networking.
  • We pay you a monthly public transport subsidy of 50 Euros.
  • We offer a subsidy for pension provision.
  • Your well-being is important to us: We have a masseur coming weekly (massages including employer subsidy) and we organize many joint team and company events, from bowling to summer parties to self-organized short trips.
  • We offer 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.

About the Company

At AERTiCKET, we are committed to creating innovative and data-driven solutions that drive our business forward. Our team is passionate about leveraging data to solve complex problems and deliver value to our clients. We foster a collaborative and inclusive work environment where every team member's contribution is valued.

Apply Now

Interested? Apply now!

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