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What is the role of a Staff Data Scientist, Firefox at Jobgether?

The Staff Data Scientist, Firefox position at Jobgether is a Full-time or part-time position opportunity in the Science field.

Where is this Staff Data Scientist, Firefox job located?

United States, Other / Non-US, United States

What type of employment is offered for this Staff Data Scientist, Firefox role?

Full-time or part-time position

What is the expected salary for this Staff Data Scientist, Firefox job?

Compensation will be discussed during the hiring process.

Staff Data Scientist, Firefox job near me in United States, Other / Non-US at Jobgether

Staff Data Scientist, Firefox

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Scientist, Firefox in the United States.

This role sits at the heart of product strategy for one of the world’s most widely used privacy-focused web browsers, shaping how millions of people experience the internet every day. You will lead the analytical vision for a major product area, defining how success is measured and ensuring decisions are grounded in rigorous, high-quality data insights. Working closely with product and engineering leadership, you will translate complex, ambiguous questions into clear analytical frameworks that directly influence roadmap priorities and long-term growth strategy. This is a highly strategic, high-impact position where your work will guide investment decisions, product direction, and user growth initiatives. You will also elevate the broader data science function by setting methodological standards, mentoring peers, and building reusable analytical systems. Operating in a mission-driven, open-source environment, your contributions will help advance a more transparent and user-first internet.

Accountabilities:

Own the analytical strategy for a core product area, defining key questions, measurement frameworks, and success metrics that guide product and growth decisions.
Partner closely with product and engineering leadership to translate ambiguous business challenges into structured analytical approaches and actionable recommendations.
Define and maintain north-star metrics, ensuring alignment across teams on how success is measured and optimized.
Design, oversee, and interpret experiments and causal analyses, ensuring methodological rigor and clear translation of results into product decisions.
Develop deep expertise in user growth dynamics, including acquisition, activation, retention, and long-term engagement trends.
Contribute to forecasting and growth modeling initiatives, transforming statistical outputs into strategic business insights.
Mentor and support other data scientists, raising the overall quality of analysis through code review, frameworks, and methodological guidance.
Represent data science in cross-functional forums, advocating for evidence-based decisions even when challenging existing assumptions.
Align data science, engineering, and product teams around shared priorities such as data quality, metrics definitions, and instrumentation.

Requirements:

8+ years of experience in data science, analytics, or applied quantitative roles with demonstrated impact on product or business strategy.
Strong track record of leading complex, cross-functional analytical projects from problem framing to stakeholder alignment and decision influence.
Deep expertise in experimentation (A/B testing) and causal inference, with strong judgment on appropriate methodologies and interpretation.
Advanced proficiency in SQL and Python for analysis, modeling, and statistical validation.
Experience defining and owning product metrics that are actively used in decision-making.
Ability to communicate complex insights clearly and influence senior stakeholders with strong, evidence-based reasoning.
Proven experience mentoring or technically leading other data scientists.
Strong analytical mindset with the ability to operate in ambiguous, fast-evolving environments.
Alignment with values such as collaboration, responsibility, resilience, and openness to diverse perspectives.

Benefits:

Competitive salary range based on location and experience ($138,000 – $218,000 USD depending on tier)
Performance-based bonus program
Comprehensive medical, dental, and vision insurance
Generous retirement contributions with 100% immediate vesting
Quarterly company-wide wellness days
Country-specific holidays plus birthday day off
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Generous paid parental leave
Employee referral bonus program
Additional benefits including life/AD&D insurance, disability coverage, and employee assistance programs (varies by country)

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Staff Data Scientist, Firefox in United States at Jobgether

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