Data Science Manager
| Company | Meta |
|---|---|
| Location | Washington, DC, USA, San Francisco, CA, USA, Austin, TX, USA, Menlo Park, CA, USA, New York, NY, USA, Bellevue, WA, USA |
| Salary | $206000 – $281000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
- A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
- 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
- Experience communicating both in low-level technical details as well as high-level strategies
- Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
- Experience with driving product roadmap and execution
Responsibilities
- Labeling spend management: Inform and drive multi-billion spend management and optimizations
- develop and execute a comprehensive data science strategy that aligns with the organization’s overall goals and objectives
- Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
- Customer support performance: 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
- High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
- Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
Preferred Qualifications
- Expertise in AI Agentic solutions, LLM performance and evals
- 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