Data Scientist
Tasks
- Analyze campaign performance
- Assess statistical significance
- Build predictive models
- Build real-time scoring pipelines
- Communicate insights to stakeholders
- Deploy machine learning models
- Engineer predictive features
- Forecast budget and demand
- Monitor model performance
- Perform exploratory data analysis
- Quantify uncertainty
- Test hypotheses
- Train machine learning models
- Translate business logic into model outputs
Perks/Benefits
- N/A
Skills/Tech-stack
Ad-Tech | CPL | CVR | Classification | Clickstream analytics | Clustering | Digital marketing | Feature Engineering | Hypothesis Testing | LightGBM | Machine Learning | Python | ROAS) | Real Time | Real-time Inference | Regression | SQL | Scikit-learn | Series forecasting | Statistical inference | Time Series | Time Series Forecasting | XGBoost
Education
N/A
Roles
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