Staff Data Scientist

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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. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. 

The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

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. The Data Science team sits at the intersection of product, engineering, finance, business development, marketing, and leadership, and we collaborate closely with these and more partners to empower rigorous decision-making and create impactful data products.

What you’ll do:

• Help define and implement the statistical approaches and algorithms to power novel advertising technologies and improve marketplace dynamics
• Generate data-informed insights and communicate these to partners and team members to influence decision making within the Advertising team, and across numerous senior forums at Mozilla.
• Apply a number of analytical and engineering skills to support data collection and build key data artifacts (dashboards, derived tables, analyses, and models) to take on ambiguity through operational and exploratory quantitative analyses.
• Design interventions and experiments to support feature development, and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to metrics and measurement.
• Strengthen the wider data team through mentorship, technical methods, analytical frameworks, and improvements in how we work.

What you’ll bring:

• You have a background in quantitative analysis with substantial evidence of analyzing, visualizing, and building data products. You have a proven track record spanning 6+ years in applying these skills in an industry setting, with experience in the Revenue/Digital Advertising space.
• You have used forecasting, causal inference, and optimization methods on large scale data. You have built business cases and solved ambiguous commercial/revenue opportunities as part of cross-functional efforts. Knowledge and experience in machine learning is a plus.
• You have excellent command of one or more SQL dialects, one or more OOP-heavy languages (Python is preferred). You have excellent knowledge of software design principles and take pride in your ability to write quasi-production code. Exposure to business intelligence tools (especially Looker) is a plus. You also possess a strong desire to gain further technical experience on the job.
• You lead with empathy and ownership. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
• You take partner needs into account, bridging methodology and data into meaningful strategy and actions from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance.
• You believe contributing to a collaborative and open team culture is an important responsibility, empowering others to do the same, while pushing forward through circumstances with candor and respect.
  • Commitment to our values:
  • Welcoming differences
  • Being relationship-minded