Senior Data Scientist

Summary

Join Mozilla's Advertising organization as a Data Scientist and contribute to shaping the future of the internet. You will generate data-driven insights, build data products (dashboards, analyses, models), and apply statistical methods to understand user behavior and revenue. Collaborate with cross-functional teams, design experiments, and contribute to the wider data team through mentorship and technical improvements. This role requires strong analytical skills, experience with large-scale data, and proficiency in SQL, Python, and business intelligence tools. Mozilla offers a generous compensation and benefits package, including performance-based bonuses, comprehensive health coverage, retirement contributions, wellness days, paid parental leave, and a professional development budget.

Requirements

• 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
• 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

Responsibilities

• 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

Preferred Qualifications

Knowledge and experience of machine learning is a plus

Benefits

• 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)