Mozilla Corporation is looking to solve business problems related to revenue optimization and business development by leveraging data science to guide decision-making, forecast revenue, and understand user behavior.
Requirements
- 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
- Ability to interpret large amounts of data, multi-task, and produce results independently or collaboratively in a team environment
Responsibilities
- 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.
Other
- 5+ years of experience in data science or analytics, leading high-impact initiatives that informed revenue growth and cross-functional strategy.
- Effective and persuasive written and oral communication skills in English.
- Commitment to our 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
