Data Scientist @ Godel Technologies Europe

1 day ago


Białystok Warszawa Gdańsk Łódź Wrocław, Czech Republic Godel Technologies Europe Full time

Ideally you have: 3+ years in Data Science role  Advanced knowledge of Machine and Deep Learning algorithms, Statistics and Mathematics  Experience of working in Python, including Scikit-learn, PyTorch and common machine learning packages  Good knowledge of SQL  Understanding data preprocessing, feature engineering, and model evaluation techniques  Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. are a plus  Familiarity with Agile methodologies and working in cross-functional teams  Strong analytical thinking, problem-solving skills, and attention to detail  Excellent communication and teamwork skills  Strong verbal and written English communication skills  Nice to have: Experience in large language models and prompt engineering  Experience in agents design and orchestration  Job overview Godel is looking for talented Data Scientist to join one of our teams engaged in development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies related to ML/AI. If you are an enthusiastic and ambitious specialist, willing to take active participation in shaping a product, this job is for you We expect candidates to be located in one of the following cities: Warsaw, Wroclaw, Lodz, Gdansk or Bialystok. Ranges EC 10 000 - 23 000 PLN gross/month B2B 80 - 145 PLN / hour ,[Analyze large historical datasets to extract meaningful features , Develop and validate machine learning models for predictive analytics , Prepare and preprocess data for modeling, ensuring data quality and consistency , Define evaluation metrics (precision, recall, false positive rate, etc.) and align them with project success criteria , Conduct experiments, document results, and manage reproducible training pipelines , Collaborate with architects and engineers to integrate the model into a lightweight demonstrator or prototype application , Present results and insights to technical and non-technical stakeholders ] Requirements: Data science, Machine learning, Deep learning, Python, scikit-learn, SQL, PyTorch, MLOps, CI/CD, Communication skills Tools: . Additionally: Flat structure, Small teams, Integration events, Internal trainings/meetups, Private healthcare, Sport subscription, Free coffee, Bike parking, Playroom, Free snacks, In-house trainings, Modern office, No dress code.



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