Senior Data Scientist
S
Sedona DigitalData Science
Romania. SerbiaContractSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLMachine LearningNumpyPandasscikit-learnMLOpsPySpark
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
- 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics roles
- Strong hands-on experience with Machine Learning techniques (regression, classification, clustering, time series, etc.)
- Statistical analysis and modeling expertise
- Python ecosystem proficiency (pandas, scikit-learn, NumPy, PySpark)
- Experience with end-to-end ML lifecycle (data preparation, modeling, evaluation, deployment, monitoring)
- Experience with model performance tuning and validation techniques
- Strong SQL skills and experience working with large datasets
- Experience deploying models into production environments
- Ability to communicate complex analytical concepts clearly to business stakeholders
- Strong problem-solving mindset with the ability to work independently
Responsibilities
- Translate business problems into analytical solutions, identifying opportunities for predictive modeling, optimization, and data-driven decision-making
- Design, develop, and deploy machine learning models using techniques such as classification, regression, clustering, and forecasting
- Apply statistical methods and experimentation techniques (hypothesis testing, A/B testing) to validate models and insights
- Conduct exploratory data analysis (EDA) to identify patterns, trends, and key drivers within large datasets
- Engineer features and prepare datasets to improve model performance and robustness
- Evaluate and optimize models using appropriate metrics, cross-validation, and tuning strategies
- Ensure model explainability and interpretability, communicating results clearly to both technical and non-technical stakeholders
- Design and implement MLOps practices including model versioning, monitoring, and retraining strategies
- Collaborate with data engineers to access, prepare, and scale datasets from Azure-based platforms
- Present insights and recommendations through compelling storytelling and data visualization
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