Senior Data Scientist (Python)
New
P
ProxifyData Science
EMEA, CET +/- 3 hours, CET (+/- 3 hours)ContractSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years
- Required Skills
- AWSDockerPythonSQLGCPMLFlowNumpyPandasscikit-learnPySpark
Requirements
- 5+ years of professional experience as a Data Scientist.
- 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.
- 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).
- Hands-on experience leveraging cloud data infrastructure (AWS, GCP, or Azure) and managed ML services (e.g., SageMaker or Vertex AI).
- Must be located in CET (+/- 3 hours) time zone.
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.
View Full Description & ApplyYou'll be redirected to the employer's site
