Related skills
r sql python tensorflow pytorch📋 Description
- Own end-to-end data science and product analytics strategy (modeling, experiments, insights).
- Build and lead a global team across data science, ML, and product analytics.
- Collaborate with Product, Growth, Marketing, and Engineering to inform roadmaps.
- Lead Product Analytics and Experimentation; define instrumentation and metrics.
- Build and scale experimentation and A/B testing across 50+ teams.
- Develop and deploy AI/ML solutions to optimize retention and pricing.
🎯 Requirements
- 12+ years in data science, analytics, or ML; 5+ years in senior SaaS leadership.
- Proven track record building data science and product analytics teams driving growth.
- Expertise in Python, SQL, R, TensorFlow, PyTorch; strong experimentation and causal inference.
- Lead product analytics, instrumentation, event taxonomies, and metric frameworks.
- Deep experience with A/B testing and scalable experimental design across 50+ teams.
- Operationalize models with feature stores, model registries, and automated retraining.
- IPO readiness or large-scale data governance a plus.
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