Marketing Data Science Manager

Mozilla; Ottawa; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Mental health support

Paid time off

Parental leave

Retirement savings plan

Professional development budget

Life/AD&D and disability insurance

Wellbeing stipend

Internet reimbursement

Office budget for remote work

Job summary

Mozilla is seeking a senior Marketing Data Science leader in Ottawa to own the global data strategy for Firefox Marketing. You will shape the roadmap, prioritize high-impact opportunities, and partner with marketing executives to translate insights into actionable strategies.

You will lead a team, build data capabilities, and deliver dashboards, reports, and models that optimize marketing investment and growth across channels.

Qualifications

• Proven track record leading marketing data science teams.
• Experience translating analytics into business recommendations.
• Strong storytelling and cross-functional collaboration skills.

Responsibilities

• Set strategy and roadmap for Marketing Data Science.
• Lead budgeting, attribution, ROI analysis and forecast modeling.
• Develop self-serve dashboards and scalable data models for Firefox Marketing.
• Mentor and grow team capabilities across performance, brand and user insights.

Skills

Data science leadership

GA/Analytics

MMM & Bayesian modeling

Stakeholder management

Communication

Tools

Tableau/Looker

Job description

• 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
• 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

Benefits

• Health and wellness: Mozilla covers medical, dental and vision plan premiums at 100% for U.S. and Canadian employees. Our offerings give you the options you need to manage your health — and your family’s — the way you want.
• Mental health: Mental health is as important as our physical health. That’s why Mozilla’s health benefits include therapy and coaching sessions to make sure our people have access to the care they need.
• Time away: With all of life’s demands, time away from work to disconnect and recharge is essential. In addition to country-specific holidays (12 in the U.S. and Canada), vacation and sick time start accruing right away (specifics vary by country). Everyone also takes a pause together on quarterly all-company wellness days, plus you get to celebrate the most personal holiday of all: your birthday.
• Parental leave: While Mozilla’s parental leave policies vary globally, our U.S. and Canadian-based employees can look forward to 26 weeks of paid leave for childbearing parents and 12 weeks of paid leave for non-childbearing parents.
• Financial: Mozilla is a private company, so our compensation isn’t tied to stock options or equity plans. Instead, we offer generous, performance-based bonus plans to all regular employees to underscore that we share in our success as one team. As for retirement savings for US and Canadian employees, Mozilla contributes a percentage of your eligible base salary each year to the 401(k) Plan/RRSP (regardless of whether you contribute or not), with 100% vesting.
• Learning and development: We’re big believers in learning by doing, and we also want to invest in your education and development beyond your role. Every employee is eligible for an annual professional development budget. Mozillians can put it toward technical or management training, certifications, conferences and more.
• Help when you need it: Life is full of surprises; that’s why it’s important to be prepared. Mozilla provides Life/AD&D and Short and Long Term Disability insurance (offerings may vary by locale) to ensure that you and your family will have a safety net in place should you ever need it.
• Plus a bit more: A few other benefits include a quarterly wellbeing stipend (to use on those things just for you), an employee referral bonus, internet reimbursement if you’re remote, and a budget for office essentials to make working remotely ergonomically comfortable.

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 approachesProven experience leading, mentoring, and developing talent, with strong stakeholder management and the ability to prioritize multiple complex workstreams6+ years of marketing data science experience, ideally at a media agency or in-house marketing organizationStrong storytelling and communication skills, with the ability to tailor data-driven insights and recommendations to different audiences