Director, Data Science/ML
Core
Drive product innovation through data science and ML capabilities, building the foundation for personalized, intelligent product experiences at scale.
Role type
Director, Data Science/ML
Builds
Production ML systems, personalization and recommendation engines, experimentation frameworks, and product measurement dashboards for a food marketplace.
Domain
Food technology / Marketplace / Consumer E-commerce
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Strategic product vision, team leadership and scaling, predictive modeling, personalization algorithms, experimentation design, causal inference, Python, SQL, ML frameworks (PyTorch, TensorFlow), cloud data infrastructure, ML Ops
Preferred skills
PhD or Master's in quantitative field, real-time ML systems, feature stores, multi-modal embeddings, generative AI/LLMs
Technologies
Python, SQL, scikit-learn, PyTorch, TensorFlow, AWS, GCP, Snowflake, MLflow, Airflow, Kubeflow
Responsibilities
Define and execute product data science strategy; Partner with Product, Growth, and Engineering leadership; Build and mentor a high-performing data science team; Own end-to-end ML lifecycle for product use cases; Design and implement robust experimentation frameworks; Develop causal inference methodologies; Build scalable dashboards and monitoring systems.
Seniority
Director, strategic leadership with hands-on technical execution