Lead Data Scientist
Tasks
- Analyze player behavioral data
- Automate recurring analyses
- Build predictive models
- Deploy predictive models
- Design A/B tests
- Design multivariate tests
- Design predictive models
- Develop anomaly detection models
- Develop fraud prevention models
- Ensure data quality
- Ensure model reproducibility
- Evaluate A/B test results
- Evaluate multivariate test results
- Monitor model performance
- Partner with data engineers on model pipelines
- Present findings to stakeholders
- Recommend engagement optimizations
- Recommend monetization optimizations
- Recommend promotion optimizations
- Refine model performance
- Test predictive models
- Visualize analytical findings
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Anomaly Detection | B testing | Causal Inference | Classification | Clustering | Data Quality | Docker | ETL | Fraud Detection | Kubernetes | Looker | Machine Learning | Multivariate Testing | NLP | NumPy | Optimization | Pandas | Power BI | PySpark | Python | Regression | SQL | Scikit-learn | Statistical Analysis | Tableau | Time Series
Education
N/A
Roles
Data Scientist | Engineer | Lead | Lead Data | Lead Data Scientist | Learning Engineer | Machine Learning Engineer | Scientist
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