Data Scientist Early Hire, Full Model Ownership, B2C SaaS
Tasks
- Collaborate with data engineering to productionize models
- Design and analyze experiments A B tests and causal inference
- Design build validate deploy monitor machine learning models
- Ensure responsible use of customer data for privacy and compliance
- Establish improve experimentation frameworks standards best practices
- Identify opportunities to leverage machine learning for customer and revenue outcomes
- Monitor production model performance
- Own machine learning lifecycle end to end
- Translate analytical findings into business recommendations
Perks/Benefits
- Cross-functional collaboration
- Direct influence on product and business strategy
- Flexible working hours
- Fully remote
- High autonomy
- Paid time off
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Causal analysis | Data Governance | Deployment | Experimentation | Feature Engineering | Feature Stores | Hypothesis Testing | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Predictive Modeling | Privacy Compliance | PyTorch | Python | Real Time | Real-time Inference | SQL | Scikit-learn | Statistics | TensorFlow
Education
N/A
Roles
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