Intuit · 3 hours ago
Mailchimp Customer Success - Senior Data Scientist
Atlanta, GA
Full-time
Onsite
Mid, Senior Level
4+ years expIntuit is a company that empowers exceptional customer experiences through data science and analytics. The Senior Data Scientist will drive analytical work on Customer Success initiatives, utilizing strong analytical judgment and modeling skills to enhance customer engagement and retention.
AccountingFinancial ServicesFinTechPaaSSoftware
Responsibilities
Own and execute end-to-end analytical projects that support Mailchimp Customer Success initiatives, from problem framing to insights and recommendations
Partner with Customer Success, Product, and Operations stakeholders to define success metrics, evaluate program effectiveness, and guide data-informed decisions
Design, run, and interpret experiments, including A/B tests and quasi-experimental analyses, to measure the impact of CS programs and interventions
Develop analytical models and customer insights that inform engagement, retention, customer health, and support effectiveness
Analyze large, complex datasets to uncover trends, risks, and opportunities across the customer lifecycle
Create clear, actionable narratives and visualizations that communicate findings to technical and non-technical audiences
Contribute to scalable measurement solutions and reusable analytical assets in partnership with Data Engineering
Support data quality, metric consistency, and documentation efforts, especially during platform or data migrations
Collaborate with AI/ML and Product teams to evaluate the impact of AI-enabled customer experiences
Role-model Intuit’s 'Win Together' value through strong cross-functional collaboration and knowledge sharing
Qualification
Required
4–7 years of experience in data science, analytics, or product analytics, with demonstrated ownership of impactful analytical projects
Strong foundation in statistics and experimentation, including experience designing and interpreting A/B tests and observational analyses
Proficiency in SQL and Python for data analysis and modeling (e.g., pandas, numpy, scikit-learn, statsmodels)
Experience working with large datasets and translating analysis into actionable business insights
Ability to operate independently while partnering effectively with cross-functional stakeholders
Strong communication skills, with the ability to explain analytical results clearly and concisely
Bachelor's degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Data Science, or related); advanced degree a plus
Preferred
Experience in SaaS, fintech, marketing technology, or SMB-focused products
Familiarity with Customer Success or go-to-market analytics (e.g., churn, retention, customer health, lifecycle engagement)
Experience with causal inference techniques beyond basic experimentation (e.g., matching, DiD)
Familiarity with BI and visualization tools (e.g., Tableau, Looker, Power BI)
Experience building reusable analytical workflows and working with version control (git)
Exposure to AI/ML or LLM-enabled analytics or customer-facing use cases
Benefits
Cash bonus
Equity rewards
Benefits
Company
Intuit
Intuit provides financial software solutions to empower individuals and businesses.
10001+ employees
H1B Sponsorship
Intuit has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (693)
2024 (550)
2023 (586)
2022 (842)
2021 (773)
2020 (514)
Funding
Current Stage
Public CompanyTotal Funding
$8.52BKey Investors
JP Morgan Chase
2025-01-31Post Ipo Debt· $4.5B
2023-09-12Post Ipo Debt· $4B
2011-01-19Post Ipo Equity· $6.7M
Leadership Team
Sasan Goodarzi
Chief Executive Officer
Alex Balazs
Chief Technology Officer
Recent News
2026-01-22
2026-01-22
Company data provided by crunchbase