Mid Data Scientist at Jobgether
Romania
Posted
on-site · full-time · Visa sponsorship
Apply for this role at Jobgether
Responsibilities:
- Own parts of the analytical and ML lifecycle: exploratory data analysis, feature engineering, model development, validation and production support.
- Build, train, tune and evaluate supervised and unsupervised models; select metrics and validation strategies (cross-validation, overfitting checks).
- Apply statistical methods (hypothesis testing, inference, distribution analysis) to support modelling decisions.
- Use experimentation and model management tools (MLflow, Weights & Biases, Databricks ML) to track experiments and versions.
- Prepare and query datasets using SQL; produce clear visualizations with Matplotlib, Seaborn, Plotly or BI tools (Power BI, Tableau).
- Apply MLOps fundamentals: model versioning, registries and deployment lifecycle best practices.
- Work with cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI) and collaborate with Data teams to integrate solutions.
- Communicate results and recommendations to technical and non-technical stakeholders; take ownership of model quality and reliability.
Requirements:
- 3–5 years professional data science experience; degree in a quantitative field preferred.
- Strong Python skills (NumPy, Pandas) and experience with scikit-learn; familiarity with PyTorch or TensorFlow.
- Proficient in SQL, EDA and feature engineering for ML use cases.
- Solid grounding in statistics, hypothesis testing and model validation techniques.
- Experience with model tracking/management tools (MLflow, W&B) and basic MLOps practices.
- Familiarity with cloud ML platforms (Azure ML, AWS SageMaker or GCP Vertex AI).
- Able to work independently, collaborate across teams and translate analyses into business outcomes.