Principal Data Scientist – Mailchimp Product Mountain View, California

Mailchimp

Mountain View, California, US
Base: $240,000-324,500; bonus/equity: eligible for...
**
10+ years product data science experience
Production-grade model development and scaling
Causal inference and experimentation design
** Mailchimp is seeking a Principal Data Scientist to lead the evolution of its Product Data Science team as it transitions to an AI-driven platform. The ideal candidate will have extensive experience in data science, particularly in modeling and experimentation, and will play a crucial role in driving measurable business outcomes. **

Job Summary

  • This role requires a proven track record of building durable data science capabilities and production-grade solutions rather than just delivering analyses.
  • The ideal candidate will elevate the craft across the organization by establishing higher technical standards and positioning data science as a strategic force multiplier.
  • Intuit provides a competitive compensation package with a strong pay for performance rewards approach including cash bonus and equity rewards.

Matching Summary

Match Score: 75

** Mailchimp is seeking a Principal Data Scientist to lead the evolution of its Product Data Science team as it transitions to an AI-driven platform. The ideal candidate will have extensive experience in data science, particularly in modeling and experimentation, and will play a crucial role in driving measurable business outcomes. **

Salary

Base: $240,000-324,500; Bonus/Equity: Eligible for cash bonus and equity rewards; Benefits: Competitive benefits package included

Skills & Requirements

Must-have

  • 10+ years Product Data Science experience
  • Production-grade model development and scaling
  • Causal inference and experimentation design
  • LLM and modern AI tooling application
  • SQL and Python technical expertise

Nice-to-have

  • Growth science and customer lifecycle value
  • Cross-sell and attach strategy experience
  • Multi-product ecosystem familiarity
  • Strong mentorship and talent development
  • Strategic influence without direct authority

Key Requirements

  • 10+ years of experience in Product Data Science
  • Master's degree or higher in quantitative field preferred
  • Deep technical expertise in statistical modeling and machine learning

Work Rights

Not specified

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