Director, Data Science/ML
Core
Drive product innovation by building the ML and experimentation foundation for personalized, intelligent product experiences at scale.
Role type
Director, Data Science/ML (Strategy & Hands-on IC)
Builds
Production ML models, experimentation frameworks, and personalization/recommendation systems
Domain
Consumer tech, e-commerce, marketplace
Deliverable
production ML models
Required skills
Strategic vision, team leadership, predictive modeling, personalization, experimentation frameworks, causal inference, Python, SQL, ML frameworks (scikit-learn, PyTorch, TensorFlow), cloud infrastructure (AWS, GCP, Snowflake), ML Ops tools (MLflow, Airflow, Kubeflow)
Preferred skills
PhD or Master's in CS/Stats/Math, real-time ML systems, feature stores, recommendation systems (two-tower/multi-modal embeddings), generative AI/LLMs, building teams from scratch, subscription business experience, product analytics tools (Amplitude, MixPanel, Looker)
Technologies
Python, SQL, scikit-learn, PyTorch, TensorFlow, AWS, GCP, Snowflake, MLflow, Airflow, Kubeflow, Amplitude, MixPanel, Looker
Responsibilities
Define and execute product data science strategy; partner with Product/Growth/Engineering leadership; own end-to-end ML lifecycle; build and mentor a high-performing data science team; evolve personalization and recommendation systems; design robust experimentation frameworks; develop causal inference methodologies; define product success metrics and measurement frameworks.
Seniority
Director, strategic leadership with hands-on technical execution
