Director of Data Science/Machine Learning

Join CookUnity as the Director of Data Science/Machine Learning, where you'll drive product innovation through advanced data science capabilities. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities. This high-impact role requires strategic thinking and hands-on technical execution. You'll define and execute the product data science strategy, partner with various teams, and foster a culture of innovation within the data science organization.

• Definir y ejecutar la estrategia de ciencia de datos del producto, identificando oportunidades donde el aprendizaje automático y la analítica predictiva pueden desbloquear mejoras significativas en la experiencia del cliente y los resultados comerciales.
• Construir y liderar un equipo enfocado en la modelización predictiva, la personalización, los marcos de experimentación y las capacidades emergentes de aprendizaje automático que impacten directamente en el compromiso del cliente, la retención y el valor de vida.
• Actuar como líder de pensamiento en técnicas emergentes de ciencia de datos (personalización, sistemas de recomendación, inferencia causal, IA generativa) y su aplicación a problemas de producto.
• 10+ years of experience in data science, with at least 5 years in leadership roles managing data scientists or ML engineers
• Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow)
• Strong product sense and business acumen—ability to identify high-impact opportunities and translate them into data science initiatives
• Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor
• Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical
• Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)
• Excellent communication skills—ability to explain complex technical concepts to non-technical stakeholders and influence product strategy
• Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling
• Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)
• Prior work in subscription businesses or retention-focused products
• Familiarity with generative AI and LLM applications in product contexts
• Experience building data science teams from scratch or through periods of rapid growth
• Background in recommendation systems or two-tower/multi-modal embeddings
• PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field
• Experience with real-time ML systems and feature stores