Senior 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, 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 Sr. Staff Data Scientist, you’ll be taking a lead role in a cross-functional team that is responsible for understanding and empowering the future of Mozilla.

The Role

The Data Science team sits at the intersection of product, marketing, engineering, finance, business, and leadership. We collaborate closely with these partners to create impactful data products. As a leader on this team, you will serve as a data expert who can represent the function of data science broadly across Mozilla, while helping the team advance its practice.

As a Sr. Staff Data Scientist at Mozilla you will:

• Drive the vision and execution of work, often to address ambiguous issues, that creates impact across organizations.
• Generate data-informed insights and communicate these narratives with data to a range of technical and non-technical colleagues to influence decision making and uplevel data fluency across Mozilla
• Apply a variety of statistical methods to understand user behaviors and long-term trends. Define, forecast, evaluate, and report on key business metrics.
• Build key data sets to empower operational and exploratory analysis.
• Advocate for standard methodologies across the organization.
• Design and implement instrumentation and data models to improve product and business visibility.

Your Professional Profile

• You lead with empathy. 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 consider contributing to a collaborative and open team culture an important responsibility.
• You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 10+ years of experience applying these skills in an industry setting. You have used forecasting or other predictive methods on large scale data. Working on machine learning in production is a plus.
• You are well-versed in data platforms and productionalizing insights at scale.  You also have experience with product analytics platforms (e.g., PostHog, Amplitude) and their implementation.  You have experience bridging the gap between data science, data engineering, and business stakeholders.
• You have experience with extracting data from a variety of sources using SQL or SQL-like tools as well as scripting languages such as Python or R.
• 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 have a passion for a healthy web and the well-being of its users. You are conversant about the challenges and opportunities that exist where Mozilla has impact.

• Commitment to our values:
• Welcoming differences
• Being relationship-minded
• Practicing responsible participation
• Having grit

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