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- Tasks: Lead data-driven projects to enhance operational efficiency and automate workflows.
- Company: Join Mozilla, a non-profit tech company dedicated to improving the internet for everyone.
- Benefits: Enjoy remote work, generous bonuses, wellness days, and professional development budgets.
- Other info: Work with a global team committed to open-source solutions and user empowerment.
- Why this job: Make a real impact in a mission-driven environment focused on innovation and user privacy.
- Qualifications: 5+ years in data science with strong skills in AI, SQL, and operational metrics.
The predicted salary is between 43200 - 72000 £ per year.
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Staff Data Scientist – Operations, London
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Client:
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
39eaae0a536d
Job Views:
3
Posted:
12.08.2025
Expiry Date:
26.09.2025
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Job Description:
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 the
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 the Apply Now dropdown 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:
What you’ll bring:
What you’ll get:
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Staff Data Scientist - Operations employer: Mozilla
Contact Detail:
Mozilla Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist - Operations
✨Tip Number 1
Familiarise yourself with Mozilla's mission and values. Understanding their commitment to making the internet better for people will help you align your answers during interviews and demonstrate your passion for their work.
✨Tip Number 2
Brush up on your knowledge of AI technologies and automation tools, especially those mentioned in the job description like LLMs and anomaly detection. Being able to discuss specific use cases or projects where you've applied these tools will set you apart.
✨Tip Number 3
Prepare to showcase your experience with operational metrics and data pipelines. Be ready to discuss how you've previously defined and implemented metrics that improved efficiency and effectiveness in your past roles.
✨Tip Number 4
Network with current or former employees of Mozilla, if possible. They can provide insights into the company culture and expectations, which can be invaluable when tailoring your approach during the interview process.
We think you need these skills to ace Staff Data Scientist - Operations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and operations. Focus on projects where you've applied AI technologies or improved operational efficiency, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Mozilla's mission and how your skills align with their goals. Mention specific examples of how you've used data science to drive operational improvements in previous roles.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Python, and any AI tools you've worked with. Provide examples of how you've built data pipelines or dashboards, as this will demonstrate your hands-on experience.
Highlight Cross-Functional Collaboration: Emphasise your ability to work across teams and communicate effectively. Mention instances where you've partnered with different departments to achieve common goals, as this is crucial for the role at Mozilla.
How to prepare for a job interview at Mozilla
✨Understand the Role
Make sure you have a solid grasp of what the Staff Data Scientist role entails, especially in terms of operational efficiency and AI technologies. Familiarise yourself with Mozilla's mission and how this position contributes to it.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with data science and analytics, particularly in operations-focused projects. Be ready to provide examples of how you've used AI tools and automation to improve processes in previous roles.
✨Familiarise with Metrics and Reporting
Since the role involves developing reporting and metrics infrastructure, brush up on key operational metrics relevant to Customer Experience, Trust & Safety, and Ad Operations. Be prepared to discuss how you would approach standardising these metrics.
✨Demonstrate Cross-Functional Collaboration
Highlight your ability to work across different teams and communicate effectively. Prepare examples of how you've successfully partnered with product or operations teams to identify measurement needs and implement tracking solutions.