Mozilla

3 months ago

Staff Data Scientist, Firefox

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Strategically own the analytical approach for a Firefox product area, partnering with product and engineering to define success metrics, design robust experiments, and translate data into actionable roadmap decisions. Lead and mentor data scientists, raise analytical standards, and drive growth-focused insights that influence resource allocation and product direction.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own the analytical strategy for a product area, identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions
•Serve as a strategic partner to product and engineering leadership, translating ambiguous business problems into analytical approaches and clear, actionable recommendations
•Define north-star metrics and measurement strategies to set goals, evaluate progress, and make trade-offs
•Design and oversee experiments and causal analyses, ensuring methodological rigor and that results drive real product decisions
•Develop and maintain a deep understanding of user growth dynamics—how acquisition, activation, and retention interact to drive growth—and diagnose metric movements for leadership

Pay and Benefits

Salary: USD 163,000 - 218,000 annually

Perks:Health InsuranceRetirementPaid LeaveHome OfficeLearning Budget

Key Requirements

•8+ years of experience in data science, analytics, or applied quantitative analysis with a track record of shaping product strategy through data
•Deep expertise in experimentation (A/B testing) and causal inference with strong judgment on method applicability
•Advanced proficiency in SQL and Python for analysis, modeling, and validation
•Experience defining and owning product metrics that teams actually use to make decisions
•Strong ability to frame ambiguous business problems, translate them into analytical approaches, and drive data-informed decisions

Experience:8+ yearsPrivacyInternetOpen source

Skills:CommunicationLeadershipProblem-solvingMentoringInfluence

Languages:English

Tech Stack:SQLPythonA/B testingCausal inference

Company Brief

Mozilla

Mozilla is a mission-driven organization that builds open-source internet products (notably the Firefox browser) and advocates for an open, private, and secure web through software, research, and community programs.

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Nonprofit & NGO

Headquarters: San Francisco, United States

Founded: 1998

Glassdoor: 2.9

Website LinkedIn Glassdoor

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Mozilla

3 months ago

Staff Data Scientist, Firefox

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own the analytical strategy for a product area, identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions
•Serve as a strategic partner to product and engineering leadership, translating ambiguous business problems into analytical approaches and clear, actionable recommendations
•Define north-star metrics and measurement strategies to set goals, evaluate progress, and make trade-offs
•Design and oversee experiments and causal analyses, ensuring methodological rigor and that results drive real product decisions
•Develop and maintain a deep understanding of user growth dynamics—how acquisition, activation, and retention interact to drive growth—and diagnose metric movements for leadership

Pay and Benefits

Salary: USD 163,000 - 218,000 annually

Perks:Health InsuranceRetirementPaid LeaveHome OfficeLearning Budget

Key Requirements

•8+ years of experience in data science, analytics, or applied quantitative analysis with a track record of shaping product strategy through data
•Deep expertise in experimentation (A/B testing) and causal inference with strong judgment on method applicability
•Advanced proficiency in SQL and Python for analysis, modeling, and validation
•Experience defining and owning product metrics that teams actually use to make decisions
•Strong ability to frame ambiguous business problems, translate them into analytical approaches, and drive data-informed decisions

Experience:8+ yearsPrivacyInternetOpen source

Skills:CommunicationLeadershipProblem-solvingMentoringInfluence

Languages:English

Tech Stack:SQLPythonA/B testingCausal inference

Company Brief

Mozilla

Industry: Enterprise Software

Company Size: Large (251 to 1,000 employees)

Growth: Nonprofit & NGO

Headquarters: San Francisco, United States

Founded: 1998

Glassdoor: 2.9

Website LinkedIn Glassdoor