Mozilla Corporation is looking to solve the problem of optimizing revenue and guiding the future development of Firefox through data-driven insights, by hiring a Senior Data Scientist to drive the analytical backbone of their revenue optimization and business development efforts.
Requirements
- Master’s or PhD in Data Science, Statistics, Computer Science, or a related field
- 2+ years of professional experience doing quantitative analysis, particularly in an Internet-focused, consumer-focused organization
- 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 (ARIMA, Prophet, Bayesian approaches, etc.)
- Proficiency with one or more programming languages: Python preferred
- Effective and persuasive written and oral communication skills in English
Responsibilities
- Design, own, and scale forecasting models that inform revenue planning, demand estimation, and growth strategies
- 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
Other
- Commitment to our values: Welcoming differences, Being relationship-minded, Practicing responsible participation, Having grit
- Ability to interpret large amounts of data, multi-task, and produce results independently or collaboratively in a team environment
- 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
- Master’s or PhD in Data Science, Statistics, Computer Science, or a related field
