Data Scientist

• Lead the development of foundational reporting and metrics infrastructure for Global Operations, enabling timely, trusted visibility across the various Ops orgs.
• Design and scale measurement frameworks that surface operational trends and performance drivers.
• Apply AI and automation tools (e.g. LLMs, GPT-based summarization, anomaly detection, task triage) to eliminate manual workstreams and improve productivity.
• Prototype and implement automation use cases that drive operational efficiency and compliance, while identifying similar opportunities for cost savings across the organization.
• Define and implement core operational metrics that reflect efficiency, effectiveness, and service quality, enabling measurement at scale and continuous process improvement.
• Partner with operations, and product teams to define measurement needs, identify gaps, and implement tracking.
• Standardize operational metrics and dashboards in Looker, ensuring self-serve access and consistency across the organization.
• Drive root cause analysis and opportunity sizing to surface the highest-value areas for investment or process improvement.

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