Lead Data Scientist, Ads Strategy & Impact

Mozilla Foundation; United States; Remoto; USD 150.000 - 220.000; Part-time

Vantaggi offerti da questo lavoro

Performance-based bonus

Medical, dental, and vision

Retirement contributions with vesting

Wellness days

Home office stipend

Professional development budget

Parental leave

Descrizione del lavoro

Mozilla Corporation in the United States is seeking a senior Data Scientist to lead analytics for the Ads business. You will collaborate across Product, Engineering, Sales, and Finance to frame problems and drive decisions.

You will own end-to-end analyses, design experiments, develop metrics, and translate findings for technical and executive audiences, contributing to monetization strategies and revenue growth.

Competenze

• 8+ years of experience in data science, analytics, or applied quantitative roles.
• Experience with digital advertising or a related monetization business.
• Strong technical foundation in Python and SQL.
• Demonstrated ability to independently frame ambiguous problems.
• Excellent analytical judgment and communication skills.

Mansioni

• Serve as a lead Data Science partner for Mozilla's Ads business, collaborating across Product, Engineering, Sales, Finance, and leadership
• Own complex analytical problems end-to-end, from framing the business question to driving follow-through
• Develop measurement frameworks for new advertising products, including success metrics and experimentation
• Analyze advertising revenue and performance to identify key drivers and inform business decisions
• Translate complex findings into clear recommendations for technical and executive audiences

Conoscenze

Python

SQL

Data analysis

Problem framing

Communication

Advertising experience

Descrizione del lavoro

Mozilla Corporation in the United States is seeking a senior Data Scientist to lead analytics for the Ads business. You will collaborate across Product, Engineering, Sales, and Finance to frame problems and drive decisions.

You will own end-to-end analyses, design experiments, develop metrics, and translate findings for technical and executive audiences, contributing to monetization strategies and revenue growth.