Meta is seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions and Human-provided solutions. The role is critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs.
Requirements
- Expertise in AI Agentic solutions, LLM performance and evals
- Experience communicating both in low-level technical details as well as high-level strategies
- Experience with driving product roadmap and execution
Responsibilities
- develop and execute a comprehensive data science strategy that aligns with the organization’s overall goals and objectives
- Inform and drive multi-billion spend management and optimizations
- Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
- Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
- develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
- Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
- design experiments, and help develop AI and automation solutions
Other
- 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
- Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
- Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
- Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
- Communication skills in VP-level leadership forums
