Team Lead, Data Science

Role overview Lead a data science team from early research and experimentation through production deployment, with a focus on models that have measurable product impact. You’ll guide technical direction and team development while strengthening how models are evaluated, deployed, monitored, and reproduced.

Responsibilities - Oversee machine learning projects across research, prototyping, testing, and production release. - Establish evaluation pipelines and practices for monitoring model performance and detecting drift. - Work with engineering partners to build reproducible model pipelines and production infrastructure. - Mentor data scientists and develop a research-oriented, impact-focused team. - Set up experiments and measurement approaches to assess effects on product metrics.

Requirements - At least five years of data science or machine learning experience, including models shipped to production. - Strong statistical and machine learning fundamentals. - Practical experience with Python machine learning tools such as scikit-learn, PyTorch, or TensorFlow. - Familiarity with MLOps tools and cloud infrastructure for model serving and monitoring. - Leadership experience and the ability to explain technical trade-offs to stakeholders.

Benefits and work setup Full-time, with global remote or hybrid options. The role offers salary and equity, a dedicated research and compute budget, conference and publication support, and learning and mentorship programs.