Mozilla is seeking a Senior Data Scientist to join its GTM Data Science team. In this role, you will drive the analytical backbone of Mozilla’s revenue optimization and business development efforts. You will own advanced forecasting models, help define key business metrics, and partner with stakeholders across Product, Marketing, and Finance to guide decision-making.
What You'll Do
- Design, own, and scale forecasting models that inform revenue planning, demand estimation, and growth strategies, with a focus on automation and long-term reusability.
- 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.
What We're Looking For
- 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.
- Ability to interpret large amounts of data, multi-task, and produce results independently or collaboratively in a team environment.
- 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.
Nice to Have
- Experience working in a distributed, open-source oriented organization is a plus.
Technical Stack
- SQL
- Python
- Looker
- ARIMA
- Prophet
- Bayesian modeling
Team & Environment
You will join the GTM Data Science team at Mozilla, contributing to a culture that values diverse creative practices and forms of knowledge.
Benefits & Compensation
- Generous performance-based bonus plans.
- Rich medical, dental, and vision coverage.
- Generous retirement contributions with 100% immediate vesting.
- Quarterly all-company wellness days.
- 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).
Work Mode
This is a remote, global position.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.
