Related skills
aws snowflake sql python tensorflow📋 Description
- Lead data science and ML initiatives to shape product experiences.
- Build and lead a team for predictive modeling and experimentation.
- Partner with Product, Growth, Eng, and UX to influence roadmap.
- Own end-to-end ML lifecycle: framing, training, deployment.
🎯 Requirements
- 8+ years in data science; at least 3 years leading teams.
- Proven track record deploying ML models in production.
- Deep expertise in experimentation and causal inference.
- Strong product sense and business acumen.
- Experience in consumer tech, ecommerce, or marketplaces.
- Excellent communication with non-technical stakeholders.
- Hands-on Python and SQL; ML frameworks: PyTorch, TensorFlow.
- Cloud data infra: AWS, GCP, Snowflake; ML Ops: MLflow, Airflow, Kubeflow.
🎁 Benefits
- Health Insurance coverage
- 401k Plan
- Stock Options Plan granted on Day 1
- Bi-annual performance bonus
- Unlimited PTO
- 5-year Sabbatical: 4 weeks paid
- Paid Family leave
- Compassionate Leave: 3-5 days each time
- CookUnity credits monthly
- Wellness subsidies
- Personalized Spanish coach
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