Senior Staff Data Scientist

Mozilla

Completely RemoteFull TimeEngineering & Architecture
Posted Today

Job description

Responsibilities

  • Shape Mozilla's most important business decisions by providing rigorous, data-driven insights and strategic recommendations.
  • Partner with senior executives and cross-functional leaders to turn ambiguity into clear, actionable long-term strategies.
  • Design and deliver sophisticated analytical solutions to solve complex problems involving large-scale, high-dimensional data.
  • Set a high technical bar for the organization through sound methodology and statistical rigor.
  • Serve as a technical leader and mentor within the Data Science community to elevate the quality of analytical work.

Requirements

  • Deep technical mastery in Python or R, SQL, and modern data science tooling.
  • Strong foundation in statistical methods and analytical rigor.
  • Exceptional communication skills with the ability to translate complex technical findings for executive audiences.
  • Proven track record of driving alignment across cross-functional teams and leading through influence.

Benefits

  • Generous performance-based bonus plans.
  • Rich medical, dental, and vision coverage.
  • Generous retirement contributions with 100% immediate vesting.
  • Quarterly all-company wellness days and a quarterly well-being stipend.
  • One-time home office stipend and an annual professional development budget.
  • Considerable paid parental leave and a day off for your birthday.

About the Company

Mozilla is a non-profit-backed technology company dedicated to shaping the internet for the better. As the creators of Firefox, we focus on building a web that is open, free, and accessible to everyone. We are driven by our mission rather than shareholders, working on critical areas including AI, security, and privacy to ensure the internet remains a public resource for all.

Skills & tools

PythonRSQLStatistics

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Python or R expertise
  2. 02SQL proficiency
  3. 03Statistical rigor
  4. 04Executive communication skills
  5. 05Cross-functional leadership
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