Staff Data Scientist

Mozilla Logo

Mozilla

πŸ’΅ $138k-$217k
πŸ“Remote - United States

Summary

Join Mozilla Corporation's Advertising organization as a Data Scientist and help shape the future of the internet. Collaborate with cross-functional teams to develop and implement statistical approaches for novel advertising technologies. Generate data-driven insights and communicate them to influence decision-making. Apply analytical and engineering skills to build data products, design experiments, and measure impact. Mentor team members and contribute to a positive and inclusive team culture. This role requires 6+ years of experience in quantitative analysis within the revenue/digital advertising space, proficiency in SQL and OOP languages (Python preferred), and strong communication skills.

Requirements

  • You have a background in quantitative analysis with substantial evidence of analyzing, visualizing, and building data products
  • You have a proven track record spanning 6+ years in applying these skills in an industry setting, with experience in the Revenue/Digital Advertising space
  • You have used forecasting, causal inference, and optimization methods on large scale data
  • You have built business cases and solved ambiguous commercial/revenue opportunities as part of cross-functional efforts
  • You have excellent command of one or more SQL dialects, one or more OOP-heavy languages (Python is preferred)
  • You have excellent knowledge of software design principles and take pride in your ability to write quasi-production code
  • 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 take partner needs into account, bridging methodology and data into meaningful strategy and actions from your analyses
  • You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance
  • You believe contributing to a collaborative and open team culture is an important responsibility, empowering others to do the same, while pushing forward through circumstances with candor and respect

Responsibilities

  • Help define and implement the statistical approaches and algorithms to power novel advertising technologies and improve marketplace dynamics
  • Generate data-informed insights and communicate these to partners and team members to influence decision making within the Advertising team, and across numerous senior forums at Mozilla
  • Apply a number of analytical and engineering skills to support data collection and build key data artifacts (dashboards, derived tables, analyses, and models) to take on ambiguity through operational and exploratory quantitative analyses
  • Design interventions and experiments to support feature development, and develop statistically sound models to measure impact. Collaborate with other data scientists to develop and operationalize consistent approaches to metrics and measurement
  • Strengthen the wider data team through mentorship, technical methods, analytical frameworks, and improvements in how we work

Preferred Qualifications

  • Knowledge and experience in machine learning is a plus
  • Exposure to business intelligence tools (especially Looker) is a plus
  • You also possess a strong desire to gain further technical experience on the job

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)

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