Mailchimp Customer Success - Staff Data Scientist Multiple Locations

Mailchimp

Base: $186,500.00 - $252,000.00; bonus/equity: eli...
On-site
6+ years data science experience
Advanced sql and python proficiency
Causal inference and experimental design
Mailchimp is seeking a Staff Data Scientist for its Customer Success Data Science & Analytics team, responsible for delivering data-driven insights to enhance customer experiences. The role involves shaping measurement frameworks, leading advanced experimentation, and collaborating with various teams to influence strategic decision-making

Job Summary

  • The team empowers world-class customer experiences by delivering data-driven insights, experimentation, and predictive intelligence across digital and expert-led channels.
  • As a Staff Data Scientist, you will lead advanced experimentation and causal analysis while shaping measurement frameworks for key outcomes like retention and customer health.
  • The role offers the opportunity to evaluate and measure the impact of AI/ML and LLM-driven customer experiences while partnering with cross-functional teams to influence strategy.

Matching Summary

Match Score: 85

Mailchimp is seeking a Staff Data Scientist for its Customer Success Data Science & Analytics team, responsible for delivering data-driven insights to enhance customer experiences. The role involves shaping measurement frameworks, leading advanced experimentation, and collaborating with various teams to influence strategic decision-making.

Salary

Base: $186,500.00 - $252,000.00; Bonus/Equity: Eligible for cash bonus and equity rewards; Benefits: Competitive package including benefits

Skills & Requirements

Must-have

  • 6+ years data science experience
  • Advanced SQL and Python proficiency
  • Causal inference and experimental design
  • Predictive modeling and segmentation
  • Scalable measurement framework development

Nice-to-have

  • Fintech or SaaS domain expertise
  • Generative AI and LLM experience
  • Strong storytelling and communication skills
  • Git version control and engineering best practices
  • Intuit Win Together mindset

Key Requirements

  • Bachelor's degree in quantitative field (advanced preferred)
  • 6+ years of experience in data science or analytics
  • Proven ability to work with large complex datasets

Work Rights

Not specified

Tailored Resume

Cover Letter