[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Mozilla logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2020/10/mozilla.jpg)](https://jobicy.com/company/mozilla.md)Remote opportunity at[Mozilla](https://jobicy.com/company/mozilla.md) # Marketing Data Science Manager Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/mozilla.md)Share21 Sep 2026Published40Listing views1Application actions21 Oct 2026Apply before Opportunity details ## About this role. AI SummaryMozilla is seeking a senior marketing data science leader to define the global data strategy and roadmap for Firefox Marketing. The role oversees measurement across performance and brand marketing, including attribution, ROI, causal lift testing, budget optimization, retention/LTV modeling, and audience segmentation. It also leads reporting and data-infrastructure capabilities while translating complex analysis into practical recommendations for marketing and executive stakeholders. The manager will mentor a team, partner across data science and marketing functions, and evaluate responsible uses of emerging AI tools. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior people-management and strategy role requiring deep marketing-measurement expertise across sophisticated causal, optimization, and modeling methods. Success depends on independently prioritizing a broad global roadmap while influencing diverse technical and business stakeholders. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$190,000US market range$160k–$225k0$248k AI insightNo salary range is published in the job text; Mozilla directs applicants to select a location to see hiring ranges. This is an estimated US annual base-salary market range for a senior Marketing Data Science Manager with people leadership and advanced marketing measurement responsibilities; actual compensation may vary by location, level, bonus, and equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Marketing Data Science](https://jobicy.com/jobs?search_keywords=Marketing%20Data%20Science.md)[Marketing Analytics](https://jobicy.com/jobs?search_keywords=Marketing%20Analytics.md)[Attribution](https://jobicy.com/jobs?search_keywords=Attribution.md)[ROI Measurement](https://jobicy.com/jobs?search_keywords=ROI%20Measurement.md)[Causal Inference](https://jobicy.com/jobs?search_keywords=Causal%20Inference.md)[Media Mix Modeling](https://jobicy.com/jobs?search_keywords=Media%20Mix%20Modeling.md)[Budget Optimization](https://jobicy.com/jobs?search_keywords=Budget%20Optimization.md)[Retention and LTV Modeling](https://jobicy.com/jobs?search_keywords=Retention%20and%20LTV%20Modeling.md)[Audience Segmentation](https://jobicy.com/jobs?search_keywords=Audience%20Segmentation.md)[People Leadership](https://jobicy.com/jobs?search_keywords=People%20Leadership.md) Sample interview questionsHow would you build a measurement framework for both performance and brand marketing at Firefox?I would begin by aligning on business objectives and translating them into a measurement hierarchy, from immediate acquisition and conversion metrics through retention, LTV, and brand outcomes. For performance channels, I would combine platform data with incrementality experiments, attribution diagnostics, and marginal-return analysis. For brand activity, I would establish planned studies such as geo tests, lift studies, and longer-horizon cohort analyses, then communicate both confidence and limitations clearly. Describe how you would optimize marketing budget allocation when channel attribution is incomplete. I would avoid relying on a single attribution model and triangulate evidence across experiments, media mix modeling, saturation curves, and cohort-level outcomes. I would estimate marginal incremental return by channel, account for uncertainty and operational constraints, and recommend controlled budget shifts rather than abrupt reallocations. The process would include a recurring test-and-learn cadence so the allocation improves as new evidence arrives. How have you used causal lift testing or synthetic control methods to evaluate a campaign? I would define a treatment and a credible counterfactual before launch, confirm data quality and power, and select a method appropriate to the intervention. For example, with a geographically targeted campaign, I could use matched markets or synthetic control to estimate incremental acquisitions and downstream retention versus expected baseline performance. I would report effect size, confidence intervals, assumptions, and the implications for future investment. How would you develop and mentor a marketing data science team? I would set a clear roadmap tied to business outcomes, define ownership areas, and establish high standards for analytical rigor, documentation, and stakeholder communication. Each team member would have growth goals supported by regular coaching, peer review, and opportunities to lead visible workstreams. I would also protect focus time while maintaining an intake and prioritization process for ad hoc requests. How do you tailor a complex analytical recommendation for executive stakeholders? I lead with the decision required, the expected business impact, and the recommended action rather than the technical method. I use a concise narrative with a small number of decision-relevant visuals, explain uncertainty in plain language, and keep methodological detail available in an appendix. This approach enables leaders to act confidently while preserving analytical transparency. 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 [link.](https://docs.google.com/document/d/1ylUe7Ou0EbsOtGRBtUv1sSld3lbZ4mrYzo59tEkSjY8/edit?usp=sharing) 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 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 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: 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 [hiringaccommodation@mozilla.com](mailto:hiringaccommodation@mozilla.com) 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 Show more [Apply now >](https://jobicy.com/jobs/153828-marketing-data-science-manager.md) > Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. Keep exploring ## Related remote jobs. Matched by job category10 related opportunities[Data Science & Analytics](https://jobicy.com/categories/data-science.md) [Browse all jobs](https://jobicy.com/jobs.md) * ![Mactores logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/cea77a13-221.jpeg) Mactores Sep 21 ### [AWS Data Engineer (Associate)](https://jobicy.com/jobs/151141-aws-data-engineer-associate.md) Mactores is the agent-native AWS modernization firm. Most modernization work doesn’t ship, it stalls in pilots, slips a year, or lands at three times the budget. 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