Senior Data Scientist

To learn the Hiring Ranges for this position, please select your location from the Apply Now dropdown menu.

To learn more about our Hiring Range System, please click this link.

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 groundbreaking 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 Senior Data Scientist, you are an inquisitive problem solver who is keen to practice full-stack data science, with experience ranging from crafting data extraction pipelines to finding patterns and anomalies in data. You have a strong curiosity and a desire to hone your technical skills further on a wide variety of real-world data. You believe that data science can lead to insights that can guide the future development of Firefox. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.

As a Senior Data Scientist on the GTM Data Science team, you will drive the analytical backbone of Mozilla’s revenue optimization and business development efforts. This role is ideal for a technically strong and commercially minded data scientist who thrives at the intersection of analytics, predictive modeling, and business strategy. You will own and deliver advanced forecasting models, help define and monitor business KPIs, and partner with stakeholders across Product, Marketing, and Finance to guide decision-making using data.

You will also support Mozilla’s mission to build a better, privacy-respecting internet by enabling efficient, data-driven go-to-market strategies across geographies and products.

What you’ll do:

• Design, own, and scale forecasting models that inform revenue planning, demand estimation, and growth strategies (e.g., product revenue and key revenue drivers), with a focus on automation and long-term reusability.
• Build robust, well-documented data sets and forecasting pipelines that support both day-to-day operations and deeper strategic analysis across teams.
• Develop clear, intuitive dashboards and tools in Looker to help teams explore data, track performance, and make fast, informed decisions.
• Collaborate with GTM teams to build ROI-focused frameworks that drive insights across campaigns, markets, and customer segments.
• Lead deep-dive analyses into user behavior, engagement, and monetization funnels to uncover opportunities and improve outcomes.
• Break down complex business questions into clear analytical approaches, and communicate findings and trade-offs with clarity to cross-functional stakeholders.
• Promote strong data quality and lead efforts to standardize key metrics across business functions.
• Champion a data-driven culture by contributing to best practices, encouraging experimentation, and fostering continuous learning across the data science community at Mozilla.

What you’ll bring:

• Master’s or PhD in Data Science, Statistics, Computer Science, or a related field
• 2+ years of professional experience doing quantitative analysis, particularly in an Internet-focused, consumer-focused organization
• Background in applied statistical modeling on large experimental or observational data sets
• Experience extracting data from a variety of sources (solid understanding of SQL is required)
• Proven ability to build forecasting, causal inference, and time series models (ARIMA, Prophet, Bayesian approaches, etc.).
• Proficiency with one or more programming languages: Python preferred
• Effective and persuasive written and oral communication skills in English.
• Ability to interpret large amounts of data, multi-task, and produce results independently or collaboratively in a team environment
• Commitment to our values:
• Welcoming differences
• Being relationship-minded
• Practicing responsible participation
• Having grit
• A global perspective in how to conduct research and understanding of cultural nuances
• Experience working in a distributed, open-source oriented organization is a plus

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)

About Mozilla 

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at [email protected] to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: D

#LI-DNI

Req ID: R2884