Data Scientist Early Hire, Full Model Ownership, B2C SaaS
Tasks
- Collaborate with data engineering to productionize models with data pipelines feature stores and deployment processes
- Design and analyze experiments including A B tests and causal inference studies
- Ensure responsible use of customer data through privacy conscious modeling and data governance
- Establish experimentation frameworks and modeling standards
- Leverage AI and machine learning to improve customer experiences product performance and revenue outcomes
- Monitor production model performance and accuracy
- Own machine learning lifecycle feature engineering model development evaluation deployment monitoring and optimization
- Translate model outputs into business recommendations for stakeholders
Perks/Benefits
- Cross-functional collaboration
- Direct influence on product strategy
- Flexible working hours
- Fully remote
- Measurable impact
- Opportunity to build data function
- Ownership and autonomy
- Paid time off
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Data Pipelines | Feature Engineering | Feature Store | Generative AI | Hypothesis Testing | MLOps | Machine Learning | Model Evaluation | NLP | Predictive Modeling | PyTorch | Python | Real Time | Real-time Inference | Recommendation Systems | SQL | Scikit-learn | TensorFlow
Education
N/A
Roles
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