Senior Staff Data Scientist

Summary

Join Mozilla as a Sr. Staff Data Scientist and take a lead role in a cross-functional team responsible for shaping the future of Mozilla. Collaborate with product, marketing, engineering, finance, business, and leadership teams to create impactful data products. As a data expert, represent data science across Mozilla and advance team practices. Drive the vision and execution of impactful work, generate data-informed insights, and communicate narratives to various colleagues. Apply statistical methods to understand user behaviors, forecast key business metrics, build data sets for analysis, and advocate for standard methodologies. Design and implement instrumentation and data models to improve product and business visibility. Mozilla offers a unique opportunity to contribute to a healthier internet while enjoying a collaborative and inclusive work environment.

Requirements

• 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
• 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

Responsibilities

• 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

Preferred Qualifications

Working on machine learning in production 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)