Staff Data Scientist - Operations

Summary

Join Mozilla as a Staff Data Scientist supporting Global Operations and become a strategic partner in enhancing operational efficiency, effectiveness, and scale. Lead foundational reporting efforts, automate critical workflows, and identify opportunities to reduce costs and improve performance across Customer Experience, Trust & Safety, and Ad Operations. You will leverage AI and automation tools to streamline processes and build data pipelines and dashboards. This role requires strong analytical skills, proficiency in AI technologies, and experience with operational domains. Success in this position demands a deep understanding of operational metrics and the ability to work cross-functionally. Mozilla offers a generous compensation and benefits package.

Requirements

• 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

Responsibilities

• 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

Benefits

• Generous performance-based bonus plans to all eligible employees - we share in our success as one team
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave
• Employee referral bonus program
• Other benefits (life/AD&D, disability, EAP, etc.varies by country)