Data Scientist (Early Hire, Full Model Ownership, B2C SaaS | Remote EU/UA)
Tasks
- Build and validate machine learning models
- Build predictive churn models
- Collaborate on feature engineering pipelines
- Conduct causal inference analysis
- Create propensity and uplift models
- Deploy machine learning models to production
- Design and analyze A/B tests
- Develop privacy aware feature engineering
- Ensure compliance with data use policies
- Forecast customer lifetime value
- Integrate feature store for model features
- Monitor models and retrain
- Prevent data leakage
- Translate model outputs into recommendations
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Churn Prediction | Feature Engineering | Feature Store | LTV forecasting | MLOps | Machine Learning | Model Deployment | Model Monitoring | NLP | Propensity Modeling | PyTorch | Python | Real Time | Real-time Inference | Recommendation Systems | SQL | Scikit-learn | Statistics | TensorFlow | Uplift Modeling
Education
N/A
Roles
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