Senior Data Scientist

August 6

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Mozilla

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B2C • Cybersecurity • Software

Mozilla is a non-profit organization dedicated to promoting an open and accessible internet. They are the makers of the popular Firefox browser, which emphasizes user privacy, speed, and control. Mozilla also offers a range of products that focus on internet security and privacy, including Mozilla VPN, Firefox Relay, and Mozilla Monitor. Additionally, the organization is involved in open-source projects, AI innovation, and advocating for digital rights. Mozilla aims to empower users with trustworthy technology and policies that protect privacy, support open-source AI development, and foster accountability for tech companies.

501 - 1000 employees

Founded 1998

👥 B2C

🔒 Cybersecurity

📋 Description

• 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 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. • 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.

🎯 Requirements

• 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

🏖️ 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)