Mailchimp Customer Success - Staff Data Scientist

Intuit

Actively hiring
Mountain View, CA · San Diego, CA Posted 10 days ago $186,500–$252,000 / year
View original post Log in to save

At a glance

AI generated

TL;DR

As a Staff Data Scientist on the Mailchimp Customer Success Data Science & Analytics team, you will serve as a senior individual contributor, applying deep analytical expertise to complex business problems by shaping measurement frameworks and leading advanced experimentation. Your day-to-day involves formulating hypotheses, designing rigorous analytical approaches, building predictive models, and translating insights into clear recommendations for both technical and non-technical stakeholders. You will work closely with Customer Success, Product, Data Engineering, and Operations teams to enhance customer engagement and retention through scalable analytics solutions. The role requires advanced SQL skills, proficiency in Python (pandas, numpy, scikit-learn), and experience with large datasets. Familiarity with fintech or SaaS products, BI tools like Tableau, and generative AI is preferred as you help define how Customer Success impact is measured at scale within Mailchimp’s evolving data platforms.

Skills

Python pandas numpy scikit-learn statsmodels SQL Advanced SQL A/B testing Causal inference Experimentation Machine Learning Data Engineering Tableau Qlik Quicksight git Version control BI tools LLM-powered analytics

What you'll do

  • Lead the design of rigorous analytical approaches for evaluating Customer Success programs and initiatives.
  • Develop scalable measurement frameworks for key CS outcomes like engagement, retention, and customer health.
  • Build predictive models to improve targeting and personalization of customer experiences.
  • Translate complex analyses into clear insights and narratives for both technical and non-technical stakeholders.
  • Champion analytics rigor and experimentation best practices across the organization.
  • Partner with Data Engineering to ensure high data quality and scalable analytics assets.

What we're looking for

  • 6+ years of experience in data science with significant impact in customer success or related domains.
  • Strong foundation in statistics, experimentation, and causal inference, including advanced analytical methods.
  • Proficient in SQL and Python for data analysis, modeling, and experimentation.
  • Proven ability to translate complex insights into actionable business decisions.
  • Experience building scalable analytics solutions that improve efficiency and consistency.
  • Excellent communication skills with the ability to influence stakeholders at all levels.
  • Bachelor’s degree in a quantitative field; advanced degree preferred.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 112 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 102 roles with salary data.

Most-posted roles

View all roles at Intuit