Staff Data Scientist - Operations job opportunity at Mozilla.

Bachelor's (B.Sc.)

United States Of America

summarize with Ai

As a Staff Data Scientist supporting Global #Operations, you will be a strategic partner in improving Mozilla’s operational efficiency, effectiveness, and scale. You are a hands-on builder who brings a strong analytical toolkit, fluency in AI #technologies, and a deep appreciation for how complex operational systems work. You will lead foundational reporting efforts, automate critical workflows, and identify opportunities to reduce cost and improve performance across Customer Experience, Trust & Safety, and Ad Operations. __ What you’ll do: __ 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 f#rameworks 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 #organisation. Drive root cause analysis and opportunity sizing to surface the highest-value areas for i#nvestment or process improvement. __ What you’ll bring: __ BS or MS in Data Science, #Statistics, Computer Science, or a related field 5+ years of experience in data science or analytics, with demonstrated work on operations-focused projects. Hands-on experience with AI tooling and #prototyping, particularly in service of process automation (LLMs, APIs, NLP, anomaly detection). Familiarity with operational domains such as Customer Experience (CX), Trust & Safety (T&S), or Ad Ops; ability to understand metrics like handle time, task pacing, or SLA completion without needing deep onboarding. Strong proficiency in SQL, and experience building data pipelines and dashboards using tools like Looker. Proficiency in Python or R for modeling, prototyping, and automation. Experience with metric standardization, KPI frameworks, and experimentation in #operational settings. Ability to work #cross-functionally, communicate with clarity, and prioritize speed over perfection when needed. Deep sense of ownership, curiosity, and urgency in solving problems that improve #organizational productivity. A global, privacy-respecting perspective aligned with Mozilla’s values.