Staff Revenue Data Scientist

September 23

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Logo of Mozilla

Mozilla

B2C • Cybersecurity • Software

Mozilla is a non-profit organization dedicated to promoting an open and accessible internet. They are the makers of the popular Firefox browser, which emphasizes user privacy, speed, and control. Mozilla also offers a range of products that focus on internet security and privacy, including Mozilla VPN, Firefox Relay, and Mozilla Monitor. Additionally, the organization is involved in open-source projects, AI innovation, and advocating for digital rights. Mozilla aims to empower users with trustworthy technology and policies that protect privacy, support open-source AI development, and foster accountability for tech companies.

501 - 1000 employees

Founded 1998

👥 B2C

🔒 Cybersecurity

📋 Description

• Drive the analytical backbone of Mozilla’s revenue optimization and business development efforts • Design, own, and scale forecasting models that inform revenue planning, demand estimation, and growth strategies (e.g., product revenue and key revenue drivers), with a focus on automation and long-term reusability • Build models to measure user and customer lifetime impact, and leverage these insights to optimize growth, monetization, and strategic investments • Build robust, well-documented data sets and forecasting pipelines that support both day-to-day operations and deeper strategic analysis across teams • Develop clear, intuitive dashboards and tools in Looker to help teams explore data, track performance, and make fast, informed decisions • Collaborate with GTM teams to build ROI-focused frameworks that drive insights across campaigns, markets, and customer segments • Lead deep-dive analyses into user behavior, engagement, and monetization funnels to uncover opportunities and improve outcomes • Break down complex business questions into clear analytical approaches, and communicate findings and trade-offs with clarity to cross-functional stakeholders • Promote strong data quality and lead efforts to standardize key metrics across business functions • Champion a data-driven culture by contributing to best practices, encouraging experimentation, and fostering continuous learning across the data science community at Mozilla

🎯 Requirements

• BS or MS in Data Science, Statistics, Computer Science, or a related field • 5+ years of experience in data science or analytics, leading high-impact initiatives that informed revenue growth and cross-functional strategy • Background in applied statistical modeling on large experimental or observational data sets • Experience extracting data from a variety of sources (solid understanding of SQL is required) • Proven ability to build forecasting, causal inference, and time series models • Proficiency with one or more programming languages: Python preferred • Effective and persuasive written and oral communication skills in English • Ability to interpret large amounts of data, multi-task, and produce results independently or collaboratively in a team environment • Commitment to Mozilla values: Welcoming differences; Being relationship-minded; Practicing responsible participation; Having grit • A global perspective in how to conduct research and understanding of cultural nuances • Experience working in a distributed, open-source oriented organization is a plus

🏖️ Benefits

• 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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