Data Scientist Early Hire, Full Model Ownership, B2C SaaS
Tasks
- Collaborate to productionize models with data pipelines
- Design and analyze experiments and A/B tests
- Design build validate deploy monitor machine learning models
- Ensure privacy conscious modeling and data governance compliance
- Establish experimentation frameworks and modeling standards
- Identify opportunities for AI and machine learning improvements
- Monitor production model performance
- Own machine learning lifecycle
- Perform causal inference studies
- Translate model outputs into business recommendations
Perks/Benefits
- Cross-functional collaboration
- Direct influence on product strategy
- Flexible working hours
- Fully remote
- High ownership and autonomy
- Paid time off
- Public holidays
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Churn Prediction | Customer Lifetime Value | Data Pipelines | Experimentation Frameworks | Feature Engineering | Feature Stores | Generative AI | Hypothesis Testing | Lifetime Value | MLOps | Machine Learning | Model Deployment | Model Development | Model Evaluation | 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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