What are the responsibilities and job description for the Mailchimp Customer Success - Senior Data Scientist position at Intuit?
Overview
The Mailchimp Customer Success (CS) Data Science & Analytics team empowers exceptional customer experiences across digital and expert-led channels by delivering insights, experimentation, and predictive analytics that drive measurable business impact. We partner closely with Customer Success, Product, Data Engineering, and Operations teams to improve customer engagement, retention, and long-term success for Mailchimp’s small and mid-market customers.
As a Senior Data Scientist, you will be a highly independent individual contributor responsible for driving end-to-end analytical work on high-impact Customer Success initiatives. You will apply strong analytical judgment, experimentation, and modeling skills to help teams understand what works, why it works, and how to improve outcomes across the customer lifecycle.
This role is ideal for a data scientist who thrives in ambiguous problem spaces, enjoys partnering closely with stakeholders, and wants to deepen their impact through Customer Success data science at scale.
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.
Qualifications
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.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
New York $ 160,000.00 - 216,500.00
The Mailchimp Customer Success (CS) Data Science & Analytics team empowers exceptional customer experiences across digital and expert-led channels by delivering insights, experimentation, and predictive analytics that drive measurable business impact. We partner closely with Customer Success, Product, Data Engineering, and Operations teams to improve customer engagement, retention, and long-term success for Mailchimp’s small and mid-market customers.
As a Senior Data Scientist, you will be a highly independent individual contributor responsible for driving end-to-end analytical work on high-impact Customer Success initiatives. You will apply strong analytical judgment, experimentation, and modeling skills to help teams understand what works, why it works, and how to improve outcomes across the customer lifecycle.
This role is ideal for a data scientist who thrives in ambiguous problem spaces, enjoys partnering closely with stakeholders, and wants to deepen their impact through Customer Success data science at scale.
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.
Qualifications
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.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
New York $ 160,000.00 - 216,500.00
Salary : $160,000 - $216,500