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. 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

Generate data-informed insights and communicate these data stories to stakeholders and colleagues to influence decision making within the Advertising team, and across numerous senior stakeholders at Mozilla.
Apply a number of data analysis and engineering skills to support data collection and build key data artifacts (dashboards, derived tables, analyses, and models) to tackle ambiguity through operational and exploratory quantitative analyses.
Apply a variety of statistical methods including linear and non-linear models, causal inference, and unsupervised learning, among many, to understand the intricate ecosystem of our users, products, partners, and revenue, against our large scale data.
Design experiments to support product developing features, 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

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 have a background in quantitative analysis knowing how to analyze, visualize, and interpret data. You have 3+ years of experience applying these skills in an industry setting, with experience in the Revenue/Digital Advertising space.
You have used forecasting or other predictive methods on large scale data. You have built business cases and tackled ambiguous commercial/revenue opportunities as part of cross-functional efforts. Knowledge and experience of machine learning is a plus.
You have experience in SQL or SQL-like environments, Python and other scripting languages, and business intelligence tools (especially Looker). You also possess a strong desire to gain further technical experience on the job.
You take stakeholder needs into account, bridging methodology and data into meaningful strategy from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance.
You consider contributing to a collaborative and open team culture as an important responsibility, empowering others to do the same, while pushing forward through circumstances with candor and kindness.

What you’ll get

Generous performance-based bonus plans to all eligible employees - we share in our success as one team
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
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)

Senior Data Scientist, Ads

Anywhere in the world

Remote

Senior

Mozilla