Mailchimp Customer Success - Senior Data Scientist

What you'll do

• Own and execute end-to-end analytical projects for Customer Success initiatives.
• Design and interpret experiments to measure the impact of CS programs and interventions.
• Develop models and insights that inform customer engagement, retention, and support effectiveness.
• Analyze large datasets to uncover trends, risks, and opportunities across the customer lifecycle.
• Create clear narratives and visualizations communicating findings to both technical and non-technical audiences.

What we're looking for

• 4-7 years of experience in data science or analytics with ownership of impactful projects.
• Strong foundation in statistics and experimentation, including A/B test design and interpretation.
• Proficiency in SQL and Python for data analysis and modeling (pandas, numpy, scikit-learn).
• Ability to work independently while effectively partnering with cross-functional stakeholders.
• Experience translating large datasets into actionable business insights and clear communication of results.
• Bachelor’s degree in a quantitative field; advanced degree preferred.
• Familiarity with Customer Success or go-to-market analytics such as churn, retention, and customer health.