Director, Data Science/ML
Tasks
- Build and lead product data science team
- Build dashboards and monitoring systems
- Build experimentation frameworks
- Conduct user behavior deep dive analyses
- Define product data science strategy
- Define product success metrics
- Design personalization and recommendation systems
- Develop causal inference methodologies
- Ensure model monitoring and iteration
- Own end-to-end machine learning lifecycle
- Partner with product growth engineering and UX leadership
- Translate product challenges into data science problems
Perks/Benefits
- 401k plan
- Compassionate leave
- Cookunity credits
- Enterprise ChatGPT Access
- Enterprise Claude Access
- Health insurance
- Paid family leave
- Paid sabbatical
- Performance bonus
- Personalized Spanish Coaching
- Stock options
- Stock options plan
- Unlimited PTO
- Wellness subsidies
Skills/Tech-stack
A/B | A/B Testing | AWS | Apache Airflow | B testing | Causal Inference | Causal effect estimation | Experiment design | Explainable AI | Feature Engineering | Feature Store | GCP | Generative AI | Kubeflow | Language Models | Large Language Models | Learning systems | MLOps | MLflow | Machine Learning | Machine learning systems | Model Deployment | Model Monitoring | Personalization | PyTorch | Python | Real Time | Real Time Machine Learning Systems | Real-time Machine Learning | Recommendation Systems | SQL | Scikit-learn | Snowflake | Statistical rigor | TensorFlow
Education
Bachelor of Science | Master of Engineering | Master of Science | PhD
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