Data Scientist
Aven
PythonSQL
Staff Revenue Data Scientist
Mozilla
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
PythonSQL
About the role
- 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
