Full-Time Senior Data Scientist, Ads
Mozilla is hiring a remote Full-Time Senior Data Scientist, Ads. The career level for this job opening is Senior Manager and is accepting Worldwide based applicants remotely. Read complete job description before applying.
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Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser, and Pocket, a service for keeping up with the best content online.
About this team and role: As a Data Scientist embedded in the Advertising Organization, you will work with a group of data and non-data Mozillians responsible for understanding and driving the future of the internet.
What you’ll do:
- Generate data-informed insights and communicate these data stories to stakeholders and colleagues to influence decision-making.
- Apply data analysis and engineering skills to support data collection and build key data artifacts (dashboards, derived tables, analyses, and models) to tackle ambiguity.
- Apply statistical methods (linear and non-linear models, causal inference, unsupervised learning) to understand the intricate ecosystem of users, products, partners, and revenue.
- Design experiments to support product development and develop statistically sound models to measure impact.
- Collaborate with other data scientists to develop and operationalize consistent approaches to metrics and measurement.
- Contribute to the wider data team through mentorship, technical methods, analytical frameworks, and improvements in how we work.
What you’ll bring:
- Proven experience in quantitative analysis, visualization, and interpretation of data.
- 3+ years of industry experience in Revenue/Digital Advertising.
- Experience with forecasting or other predictive methods on large-scale data.
- Experience in building business cases and tackling ambiguous commercial/revenue opportunities.
- Knowledge and experience of machine learning is a plus.
- Proficiency in SQL, Python, and business intelligence tools (especially Looker).
- Strong desire to gain further technical experience.
- Excellent communication skills to craft impactful data narratives.
- Strong commitment to collaborative and open team culture.
What you’ll get:
- Generous performance-based bonus plans
- Comprehensive medical, dental, and vision coverage
- Generous retirement contributions
- Quarterly all-company wellness days
- Country-specific holidays and birthday off
- One-time home office stipend
- Annual professional development budget
- Quarterly well-being stipend
- Considerable paid parental leave
- Employee referral bonus program