Job Description
Job Overview
As a Senior Data Scientist at Mozilla, you will engage in full-stack data science to drive the analytical backbone of Mozilla’s revenue optimization and business development efforts. You will craft data extraction pipelines, develop advanced forecasting models, and help define business KPIs, all while collaborating with cross-functional teams to guide decision-making using data. This role is perfect for a technically adept data scientist who is passionate about leveraging data insights to improve user experiences and contribute to Mozilla's mission of building a better internet.
Technical Requirements
Required Skills
- • quantitative analysis
- • statistical modeling
- • data visualization
- • SQL
- • Python
Preferred Skills
- • ARIMA models
- • Bayesian approaches
- • time series models
Experience Level
2+ years of professional experience in a quantitative analysis role
Responsibilities
- • Design, own, and scale forecasting models for revenue planning and growth strategies
- • Build robust data sets and forecasting pipelines for strategic analysis
- • Develop dashboards and tools in Looker for data exploration and performance tracking
- • Collaborate with GTM teams to build ROI-focused frameworks for insights
- • Lead analyses into user behavior and monetization funnels
- • Communicate findings to cross-functional stakeholders
- • Promote data quality and standardize key metrics across functions
- • Contribute to best practices and encourage a data-driven culture
Benefits & Perks
- • Generous performance-based bonus plans
- • Rich medical, dental, and vision coverage
- • Generous retirement contributions with immediate vesting
- • Quarterly wellness days
- • Country specific holidays plus a day off for your birthday
- • Home office stipend
- • Annual professional development budget
- • Quarterly well-being stipend
- • Paid parental leave
- • Employee referral bonus program
Additional Information
- Location
-
Remote US
- Type
-
Full-time
- Compensation
-
Compensation dependent on location; details available upon application