Data Analytics Lead — AI Pipelines & Dashboards

Meta; Washington (District of Columbia); On-site; USD 151,000 - 213,000; Full time

Job summary

Meta seeks a Data Analyst to own and scale analytics and the technical infrastructure powering communications measurement. You will lead press monitoring infrastructure, data pipelines, and front-end tooling to deliver real-time dashboards and insights for Comms teams.

The role requires a strong technical and analytical background, with hands-on experience across data infrastructure, AI/ML in production, and collaboration with Data Engineering to expand platform capabilities.

Qualifications

• 6+ years in data science, analytics engineering, or a related technical field with hands-on development work.
• Proficiency in Python, SQL, and R.
• Experience end-to-end data infrastructure from ingestion to reporting.
• Experience deploying AI/ML models in production workflows (text classification, NLP, relevance scoring).
• Ability to communicate technical decisions to non-technical stakeholders.

Responsibilities

• Own and evolve the technical infrastructure powering our press measurements.
• Design, build, and maintain front-end interfaces and dashboards for real-time monitoring and insights.
• Develop and maintain back-end data pipelines and integrations for global scalability.
• Build and improve AI-driven features and implement human-in-the-loop QA.

Skills

Python

SQL

R

Data pipelines

AI/ML

NLP

Education

Advanced degree in CS/DS

Job description

Meta seeks a Data Analyst to own and scale analytics and the technical infrastructure powering communications measurement. You will lead press monitoring infrastructure, data pipelines, and front-end tooling to deliver real-time dashboards and insights for Comms teams.

The role requires a strong technical and analytical background, with hands-on experience across data infrastructure, AI/ML in production, and collaboration with Data Engineering to expand platform capabilities.