Mozilla is looking to leverage data science to understand user behavior and guide the future development of Firefox, aiming to reclaim an internet built for people, not companies.
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)
- 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
- Help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends
- Build key data sets to empower operational and exploratory analysis
- Advocate for strong analytical standards and methodologies across the organization
- Be responsible for the definition, evaluation and reporting of key product metrics
- Sit at the intersection between product, engineering, and leadership to advise, influence, support, and implement our product decisions
- Help cultivate a culture of measurement to build a better Firefox
Other
- Master’s or PhD in Data Science, Statistics, Computer Science, or a related field (physical, life, or science)
- 2+ years of professional experience doing quantitative analysis, particularly in an Internet-focused, consumer-focused organization
- 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
