Senior Data Scientist

Tasks

• Apply statistical methods and experiments
• Collaborate with data engineers on dataset preparation
• Conduct exploratory data analysis
• Deploy models to production
• Design, develop, and deploy machine learning models
• Engineer features and prepare datasets
• Ensure model explainability
• Evaluate and optimize models
• Implement MLOps practices
• Present insights using data visualization
• Translate business problems into analytical solutions

Perks/Benefits

• Exposure to complex global clients
• Fun team events
• Ongoing learning opportunities
• Remote work flexibility
• Training and development

Skills/Tech-stack

A/B | A/B Testing | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Machine Learning | Azure Synapse | Azure Synapse Analytics | B testing | Blob Storage | CI/CD | Cross-validation | Data Lake Storage | Data Visualization | Feature Engineering | GitHub | Hyperparameter Tuning | MLOps | Machine Learning | Model Monitoring | Model versioning | NumPy | Pandas | Power BI | PySpark | Python | SQL | Scikit-learn | Statistical Analysis | Synapse Analytics