Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Staff Data Scientist - Operations

Mozilla
London
5 days ago
Create job alert

Staff Data Scientist - Operations

at Mozilla Corporation Team: Strategy, Operations, Data & Ads Locations: Remote UK To learn the Hiring Ranges for this position, please select your location from theApply Nowdropdown menu.

To learn more about our Hiring Range System, please click this


Why Mozilla?


Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make groundbreaking brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people.


The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.


About this team and role:


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.


You thrive in environments where productivity, pragmatism, and impact matter more than perfection. You think like an operator and build like an engineer. You know that good metrics and fast insights are the foundation for running great teams, and you want to make that a reality at Mozilla.


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 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.

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.

What you’ll get:

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)

Related Jobs

View all jobs

Staff Data Scientist

Staff Data Scientist

Staff Data Scientist

Staff Data Scientist

Staff Data Scientist - Fraud

Staff Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.