Description review

Marketing Data Science Manager

Mozilla · Canada, UK · back to the listing

HR standards

36/100

poor

Title ↔ description

80/100

solid

Reads as

Data Scientist

99% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

How others title the same work

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What the listing never says

  • 24 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

To learn the Hiring Ranges for this position, please select your location from the Apply Now1 dropdown menu.

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

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years2 . We make pioneering 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 years3 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:

In the past few years, Marketing has emerged as a key vector and focus of Firefox’s growth, with Data Science playing an essential role in evaluating Marketing’s impact and developing clear strategies to ensure that success. Marketing Data Science supports Firefox through the standard fare of marketing (ongoing measurement, experimentation/lift testing, adhoc analysis, forecasting/budget optimization), and beyond that as thought leaders at Firefox in translating broad goals into clearly defined objectives and identifying the path towards succeeding in them.

In this role, you will continue to build on the Marketing team’s recent successes as Firefox’s Marketing program continues to expand its footprint throughout the funnel. You’ll look to support this success in owning global data strategy for Firefox Marketing, developing new data capabilities to unlock future business growth, collaborating with Data Science counterparts in other domains domains, and working closely across marketing and adjacent cross-functional teams to translate your team’s work into practical recommendations and enablement that drive Firefox’s growth.

What you’ll do:

• Set the strategy and roadmap for Marketing Data Science, prioritizing the highest-impact opportunities with key partners.

• Establish goals and measurement approaches for attribution, ROI, and campaign performance; deliver insights that improve marketing investment and outcomes.

• Lead and develop the team’s core capabilities across:

• Performance marketing: budget optimization, causal lift measurement, and conversion-signal testing

• Brand marketing: measurement planning and assessment of long-term and lower-funnel impact

• User insights: retention/LTV modeling and audience segmentation

• Reporting and infrastructure: build self-service dashboards, deliver ad hoc and executive reporting, and develop scalable data models and internal tools that expand our understanding of the acquisition landscape.

• Bring a forward-looking perspective on advertising, media innovation, and marketing analytics methods.

• Partner with Data Science leaders to evaluate and responsibly adopt emerging AI tools that improve team workflows and impact.

What you’ll bring:

• 6+ years of marketing data science experience, ideally at a media agency or in-house marketing organization.

• Proficiency with marketing analytics tools, including Google Analytics and advertising platforms, and familiarity with modeling methods such as MMM, causal lift/synthetic control, saturation modeling, optimization, and Bayesian approaches.

• Proven experience leading, mentoring, and developing talent, with strong stakeholder management and the ability to prioritize multiple complex workstreams.

• Strong storytelling and communication skills, with the ability to tailor data-driven insights and recommendations to different audiences.

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)

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: D

#LI-DNI

Req ID: R3211

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 29 points (from 65 before penalties). Reviewed 21 Sep 2026.