Data Engineer V

INSPYR Solutions • Menlo Park, CA

2d • Hybrid

About The Position

The Financial & Support Ecosystem Data Science team supports two core areas at Meta: Integrity (Trust and safety across Facebook, Instagram, and WhatsApp, including operational spend, agent workforce, and content labeling that trains Meta's LLM-based classifiers) and Support (Advertiser and premium subscriber support, covering payment issues, integrity escalations, product confusion, and general advertiser questions). The team measures things like customer satisfaction and time to resolution.

Requirements

• Strong data foundation experience, including LLM-based conversational data and building/maturing metrics like Task Completion Rate
• Strong experimentation and experimental design background, including measuring impact when the underlying data is changing
• Hands-on dashboard development and the data modeling needed to support reporting
• Comfortable presenting findings to senior leadership
• Must be local to the New York area (no relocation)

Nice To Haves

• Trust and safety operations, business, or workflow experience
• Big tech experience

Responsibilities

• Build and mature the data foundation behind support and integrity metrics, including LLM-based conversational data
• Develop new metrics and debug low-maturity ones (e.g., Task Completion Rate)
• Design and analyze experiments to measure the impact of product and operational changes, including changes to the underlying data
• Build dashboards and the reporting infrastructure behind them
• Run root cause analyses (RCAs) on sales escalations and support trends, especially during peak season
• Prepare and present weekly and biweekly business reviews (e.g., CSAT drivers, what's working and what isn't) directly to director-level leadership
• Partner with engineering and product teams on fixes and new measurement needs, which shift week to week

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed