Senior Data Scientist
New
S
Sedona DigitalData Science
Serbia. Romania. United KingdomFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5 years
- Required Skills
- PythonSQLAgileETLGCPMachine LearningPrompt EngineeringMLOps
Requirements
- 5 years working as a senior data scientist or engineer delivering DS, ML, or Advanced Analytics
- 2 years working with GCP data technologies
- Hands-on experience with Machine Learning techniques (regression, classification, clustering, time series, etc.)
- Statistical analysis and modeling with production deployments
- End-to-end ML lifecycle management (data preparation, modeling, evaluation, deployment, monitoring)
- Model performance tuning and validation techniques
- SQL skills and experience working with large datasets
- Proven ability to elicit, analyse, and document requirements and processes
- Experience with applied data techniques including identification, pipelining/ETL, curation, and modeling
- Hands-on experience with Agile methodologies and ceremonies
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field
Responsibilities
- Translate business problems into analytical solutions, identifying opportunities for predictive modelling, optimisation, and data-driven decision-making
- Design, develop, and deploy machine learning models using techniques such as classification, regression, clustering, and forecasting
- Leverage LLM analytical capabilities by engineering prompts to securely hosted AI models
- Apply statistical methods and experimentation techniques to validate models and insights
- Conduct exploratory data analysis to quantify data asset value and identify trends within large datasets
- Ensure model explainability and interpretability for technical and non-technical stakeholders
- Design and implement MLOps practices including model versioning, monitoring, and retraining
- Collaborate with data engineers to access, prepare, and scale datasets from cloud platforms
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