Data Scientist Early Hire, Full Model Ownership, B2C SaaS
Tasks
- Apply privacy conscious modeling practices
- Build experimentation frameworks
- Build machine learning models
- Collaborate with data engineering on data pipelines
- Conduct causal inference studies
- Deploy machine learning models
- Design machine learning models
- Develop model evaluation
- Ensure data governance compliance
- Implement Feature Stores
- Improve modeling standards
- Monitor machine learning models
- Monitor model performance in production
- Optimize machine learning models continuously
- Perform feature engineering
- Run A/B tests
- Support robust deployment processes
- Translate model outputs into business recommendations
- Validate machine learning models
Perks/Benefits
- Continuous learning
- Cross-functional collaboration
- Flexible working hours
- Fully remote
- High autonomy
- Paid time off
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Experimentation | Feature Engineering | Feature Stores | Hypothesis Testing | Language Processing | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Predictive Modeling | PyTorch | Python | Real Time | Real-time Inference | Recommendation Systems | SQL | Scikit-learn | Statistics | TensorFlow
Education
N/A
Roles
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