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 groundbreaking brands like Firefox, the privacy-minded web browser. Now, with more than 200 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, privacy, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: The Firefox Data Science team partners with Product and Engineering to grow usage of our flagship product: Firefox, the privacy-minded web browser. Our work informs prioritization, investment decisions, and the long-term growth strategy across Firefox. The Senior Data Scientist will lead analytical support for a feature area to drive measurable user growth by framing ambiguous questions, designing measurement strategies, and delivering insights that shape product decisions. They will also contribute to the team's forecasting and growth modeling efforts, helping translate statistical models into actionable growth strategies. This role emphasizes judgment, communication, and influence, supported by strong technical execution. What you’ll do: - Own the analytical success for a feature area by defining north-star metrics, building datasets, establishing measurement strategies, and driving data-driven decisions - Provide deep-dive and root-cause analyses to guide feature development, such as understanding what’s driving a metric change or opportunity sizing of new features - Design and analyze experiments to understand feature impact, user behavior, and causal relationships - Design measurement plans to evaluate new growth initiatives and validate assumptions over time - Contribute to the team's statistical forecasting models and help translate model outputs into actionable growth plans - Sit at the intersection between product, engineering, and leadership to advise, influence, support, and implement our product decisions - Cultivate a culture of measurement and advocate for strong analytical standards and methodologies across the organization What you’ll bring: - 6+ years of experience in data science, analytics, or applied quantitative analysis, with a track record of influencing business decisions through data - Advanced proficiency in SQL and Python for analysis, modeling, and validation - Background in experimentation (A/B testing) and causal inference for product development - Familiarity with time-series forecasting or statistical modeling techniques - Experience communicating models and findings to senior leadership and cross-functional partners - Ability to operate effectively in fast-paced environments with multiple viable options, delivering directional insights with clear rationale - Commitment to our values: - Welcoming differences - Being relationship-minded - Practicing responsible participation - Having grit What you’ll get: - 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) About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online. Commitment to diversity, equity, inclusion, and belonging Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), 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. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. Group: D #LI-REMOTE Req ID: R3100 Hiring Ranges: US Tier 1 Locations $150,000—$200,000 USD US Tier 2 Locations $138,000—$184,000 USD US Tier 3 Locations $127,000—$170,000 USD

• Own the analytical success for a feature area by defining north-star metrics, building datasets, establishing measurement strategies, and driving data-driven decisions • Provide deep-dive and root-cause analyses to guide feature development, such as understanding what’s driving a metric change or opportunity sizing of new features • Design and analyze experiments to understand feature impact, user behavior, and causal relationships • Design measurement plans to evaluate new growth initiatives and validate assumptions over time • Contribute to the team's statistical forecasting models and help translate model outputs into actionable growth plans • Sit at the intersection between product, engineering, and leadership to advise, influence, support, and implement our product decisions • Cultivate a culture of measurement and advocate for strong analytical standards and methodologies across the organization

• You analyze our complex data and derive valuable insights using data mining, clustering, forecasting, or recommendation/classification methods. • You ensure the correctness of our data across different systems. • You analyze our data, present the results in an understandable way, and derive concrete strategic actions. • You work closely with Product Management, Community Management, and the executive team — not in an ivory tower, but as a collaborative sparring partner. • You connect quantitative analyses with qualitative feedback from our community to enable well-founded decisions. • You establish best practices such as code reviews and documentation. • You take on technical and, prospectively, disciplinary leadership of a small team, support the development of your colleagues, and further build out the area structurally. • Together with the executive team, you define the long-term data strategy and establish a true data culture within the company.

• Data analysis and Data Science, including data mining, clustering, forecasting, recommendation systems and classification • Ensure the correctness and integrity of data in our systems • Prepare data-driven decisions and derive strategic measures • Work closely with Product Management, Community Management and Executive Management • Link quantitative analyses with qualitative community feedback • Establish best practices such as code reviews and documentation • Provide technical and, prospectively, disciplinary leadership for a small team • Support the development and strategic build-out of the Data Science function • Define the long-term data strategy together with Executive Management