Middle Data Scientist
Tasks
- Communicate results and insights to stakeholders
- Deploy models to production
- Develop supervised machine learning models
- Evaluate model performance
- Iterate model improvements
- Maintain machine learning models
- Monitor model performance and troubleshoot issues
- Perform data analysis and validation
- Perform feature engineering
- Stay updated with data science best practices
- Support advertising optimization and experimentation
- Translate business needs into data science solutions
Perks/Benefits
Skills/Tech-stack
Data Validation | Decision Trees | Feature Engineering | Gradient boosting | Linear Regression | Logistic Regression | Machine Learning | Model Evaluation | NumPy | Pandas | Performance Metrics | PyTorch | Python | Random Forest | SQL | Scikit-learn | Supervised Learning | TensorFlow
Education
N/A
Roles
Regions
Countries
States
Cities
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