Senior Marketing Data Scientist

Mozilla

Senior Data Scientist analyzing marketing data for Mozilla to improve marketing performance. Collaborating with teams to develop insights, reporting tools, and comprehensive analytical support.

Posted 5/18/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$115,000 - CA$153,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryPythonSQL

About the role

Key responsibilities & impact

Own marketing tests end-to-end, leveraging and contributing to our Python-based measurement workflows.
Collaborate with senior ICs to address critical data infrastructure needs, support org-wide migrations, and develop new analytical and measurement solutions.
Develop reporting and monitoring tools that surface business insights and increase visibility into marketing performance and impact.
Conduct deep-dive analyses to investigate questions related to performance, audiences, monetization, attribution, and data integrity.
Provide flexible analytical support across the team’s project portfolio, taking high-level direction from senior ICs while independently owning specific components of the solution.

Requirements

What you’ll need

2–3 years of experience conducting quantitative analyses, ideally within a marketing or growth environment.
Master’s degree or higher in a computer, mathematical, physical, life, or social science discipline (preferred).
Strong SQL skills and experience working with relational databases (e.g., BigQuery, Redshift) to extract, transform, and synthesize data.
Proficiency with visualization and reporting tools, such as Python, Looker, or Redash, and experience building clear, actionable reporting solutions.
Knowledge of core statistical methods used for hypothesis testing and analytical inference.
Experience with geo experiments or synthetic control models (e.g., CausalImpact, GeoLift) is a plus.
Familiarity with digital marketing and measurement platforms (e.g., Google Analytics, Google Ads, Meta Business Suite) is a plus.
Strong analytical and problem-solving skills, with the ability to translate data into clear insights, recommendations, and next steps, communicated concisely and transparently.
Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit.

Benefits

Comp & perks

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)

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Hard Skills & Tools

PythonSQLstatistical methodsquantitative analysesdata extractiondata transformationdata synthesisanalytical inferencegeo experimentssynthetic control models

Soft Skills

analytical skillsproblem-solving skillscommunication skillsindependencecollaborationflexibilitytranslating data into insightsconcise communicationtransparencyrelationship-minded

Certifications

Master’s degreedegree in computer sciencedegree in mathematical sciencedegree in physical sciencedegree in life sciencedegree in social science