Mid Data Scientist at Jobgether
Germany
Posted
on-site · full-time · Visa sponsorship
Apply for this role at Jobgether
Responsibilities:
- Conduct exploratory data analysis to identify trends, anomalies and modelling opportunities.
- Perform feature engineering and build high-quality training datasets.
- Develop, tune and validate ML models (supervised and unsupervised) and monitor performance in production.
- Define evaluation metrics and validation strategies (cross-validation, holdouts, overfitting analysis).
- Apply statistical and probabilistic methods to quantify uncertainty and support decisions.
- Use model tracking/experiment tools (MLflow, W&B, Databricks ML) and follow MLOps best practices.
- Work with cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI) for deployment and lifecycle management.
- Create SQL-driven analyses and visualizations; communicate results to technical and non-technical stakeholders.
Requirements:
- 3–5 years of data science experience and a degree in a quantitative field preferred.
- Strong Python (NumPy, Pandas) and scikit-learn experience; familiarity with PyTorch or TensorFlow.
- Proficient in SQL, EDA and feature engineering for production-grade models.
- Good understanding of statistics, hypothesis testing and model validation techniques.
- Practical experience with model management tools and cloud ML services.
- Clear communicator, collaborative team member and owner of model quality and reliability.