Senior Data Scientist, Revenue and Business
Mozilla
Job Overview
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Job Description
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. With over 225 million people globally using our products each month, we are shaping the next 25 years of technology to reclaim an internet built for people, not companies. Our work spans diverse areas including AI, social media, security, and more, all while maintaining our core mission to make the internet better for everyone.
Wholly owned by the non-profit 501(c) Mozilla Foundation, we are not beholden to shareholders but solely to our mission. Alongside thousands of volunteer contributors and collaborators worldwide, Mozillians design, build, and distribute open-source software, empowering people to enjoy the internet on their terms.
About This Team And Role
The Revenue Data Science team collaborates with Business Development and Finance to evaluate revenue growth opportunities and translate usage data into business-relevant insights. Their work directly informs prioritization, investment decisions, and the long-term growth strategy for Firefox.
This Senior Data Scientist, Revenue and Business role is a highly business-facing position. You will focus on shaping ambiguous questions, guiding data-driven decisions, and ensuring analytical outputs are accurate and actionable. The role emphasizes strong judgment, communication, and influence, all supported by robust technical execution.
What You’ll Do
- Evaluate and compare multiple revenue growth opportunities to inform Business Development prioritization, investment decisions, and negotiation strategy.
- Develop clear analytical frameworks to assess trade-offs, risks, and expected impact across competing options.
- Produce executive-ready reporting and dashboards that translate complex analyses into concise, decision-oriented narratives.
- Design measurement plans to evaluate new growth initiatives and validate assumptions over time.
- Ensure high standards of data validation and accuracy for analyses surfaced to senior leadership.
What You’ll Bring
- 6+ years of experience in data science, analytics, or applied quantitative roles, with a track record of influencing business decisions through data.
- Advanced proficiency in SQL and Python for analysis, modeling, and validation.
- Strong business judgment and stakeholder management skills, including comfort assessing trade-offs and pushing back on assumptions when needed.
- Practical experience with statistical analysis and experiment design, applied to real-world business problems.
- Ability to operate effectively in fast-paced environments with multiple viable options, delivering directional insights with clear rationale.
- High standards for data accuracy, validation, and reproducibility, particularly for executive-facing work.
- Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit.
What You’ll Get
Mozilla offers a comprehensive benefits package designed to support our employees:
- Generous performance-based bonus plans to all eligible employees, sharing 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 for collective pauses.
- 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).
Commitment to Diversity, Equity, Inclusion, and Belonging
Mozilla values diverse creative practices and forms of knowledge as crucial to enriching the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations, gender identities, and expressions.
We provide reasonable accommodations for qualified individuals with disabilities to participate in the job application or interview process, perform essential job functions, and receive other employment benefits. Please contact hiringaccommodation@mozilla.com to request accommodation.
Mozilla is an equal opportunity employer. We do not discriminate based on race (including hairstyle and texture), religion, 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. Discrimination or harassment based on these characteristics or any other unlawful behavior will not be tolerated.
Key skills/competency
- Data Science
- Revenue Growth
- Business Strategy
- Data Analysis
- SQL
- Python
- Statistical Analysis
- Experiment Design
- Stakeholder Management
- Executive Reporting
How to Get Hired at Mozilla
- Research Mozilla's mission: Study their commitment to an open internet, values, and recent initiatives on their website and blog.
- Showcase data storytelling: Prepare to demonstrate how you translate complex data into clear, decision-oriented narratives for business stakeholders.
- Highlight SQL and Python mastery: Provide concrete examples of your advanced proficiency in data analysis, modeling, and validation using these tools.
- Emphasize business judgment: Share instances where you've assessed trade-offs, influenced strategic decisions, and effectively managed stakeholder expectations.
- Tailor your resume for impact: Customize your application to clearly align with Mozilla's mission, values, and the specific technical and business requirements of this role.
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