Data Scientist Early Hire, Full Model Ownership, B2C SaaS
Tasks
- Apply responsible data privacy practices
- Build experimentation frameworks
- Build machine learning models
- Collaborate with data engineering on model productionization
- Conduct causal inference studies
- Continuously optimize machine learning models
- Deploy machine learning models
- Design machine learning models
- Develop and evaluate predictive models
- Establish modeling standards
- Feature engineer for predictive modeling
- Implement scalable data pipelines
- Monitor machine learning models
- Monitor model performance in production
- Perform A/B testing
- Translate model outputs into business recommendations
- Use feature stores for model inference
- Validate machine learning models
Perks/Benefits
- Collaborative environment
- Continuous learning
- Cross functional stakeholder access
- Direct influence on product and business strategy
- Flexible working hours
- Fully remote
- High ownership
- Paid time off
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Churn Prediction | Customer Lifetime Value | Customer lifetime value forecasting | Data pipeline | Feature Engineering | Feature Store | Hypothesis Testing | Lifetime Value Forecasting | MLOps | Machine Learning | Predictive Modeling | 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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