Senior Data Scientist (Python)

August 19, 2026
Application ends: November 18, 2026
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Job Description

Responsibilities:

  • Design, build, and optimize scalable predictive models and machine learning algorithms to solve complex business challenges.
  • Architect and maintain robust data pipelines and feature sets, ensuring data quality, consistency, and integrity across training and inference layers.
  • Partner with Data Engineers, Product Managers, and Backend Teams to integrate ML models seamlessly into core application APIs.
  • Conduct rigorous peer code reviews for data science workflows, championing production-grade Python design patterns and linting standards.
  • Translate highly technical metrics (Precision, Recall, ROC-AUC, RMSE) into clear business outcomes and executive-level recommendations.

What we are looking for:

  • 5+ years of professional experience as a Data Scientist, with expert-level mastery of the Python data ecosystem (Pandas, NumPy, SciPy, Scikit-Learn).
  • Deep theoretical and practical knowledge of supervised and unsupervised learning, regression, classification, clustering, and time-series forecasting.
  • Proven track record of moving models out of Jupyter Notebooks and into production environments using containerization (Docker) and microservice design.
  • Strong proficiency in writing complex, optimized SQL queries and experience handling large-scale data using distributed computing frameworks like PySpark or Ray.
  • Experience with machine learning lifecycle tools (such as MLflow, DVC, or Weights & Biases) for model tracking, versioning, and feature store management.
  • Hands-on experience leveraging cloud data infrastructure (AWS, GCP, or Azure) and managed ML services (e.g., SageMaker or Vertex AI).
  • Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.

Nice-to-have:

  • Deep Learning experience using PyTorch or TensorFlow/Keras.
  • Experience with NLP frameworks (Hugging Face, spaCy) or deploying LLM-based pipelines (LangChain, vector databases).
  • Familiarity with orchestration tools like Apache Airflow or Prefect.
  • Strong background in experimental design, A/B testing methodologies, and statistical significance validation.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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