Staff Product Scientist (Mailchimp)

Global financial technology platform powering prosperity through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.
$157,500 - $213,000
Data
Staff Software Engineer
In-Person
5+ years of experience
Enterprise SaaS · Finance

Description For Staff Product Scientist (Mailchimp)

Intuit's Mailchimp division is seeking a Staff Product Scientist to join their growing analytics team. This role represents a unique opportunity to drive data-driven decision making at a leading marketing platform that serves millions of small businesses worldwide.

The position combines deep analytical expertise with strategic business impact, requiring both technical prowess and business acumen. As a Staff Product Scientist, you'll be responsible for conducting sophisticated analyses, designing experiments, and developing statistical models that directly influence product strategy and business outcomes.

The role offers an exciting challenge of working with large-scale behavioral data sets to understand customer needs and behaviors, turning complex analyses into actionable insights. You'll collaborate with cross-functional teams including product, finance, marketing, and legal stakeholders, making this an ideal position for someone who excels at both technical execution and strategic communication.

Key technical requirements include expertise in SQL, Python/R, and experience with modern data visualization tools like Looker and Tableau. The role requires 5-7 years of analytics experience, preferably in a technology company, and a strong foundation in statistical methods.

What makes this role particularly compelling is its positioning within Intuit's ecosystem, offering exposure to both Mailchimp's small business focus and Intuit's broader financial technology platform. The company provides competitive compensation ($157,500 - $213,000) and offers relocation benefits for this New York City-based position.

This is an excellent opportunity for an experienced data professional who wants to make a significant impact on a product used by millions of customers worldwide. The role combines the stability of an established company with the dynamic environment of a growing analytics team, offering both professional growth and the chance to mentor others in the field.

Last updated a month ago

Responsibilities For Staff Product Scientist (Mailchimp)

  • Support experimentation design to measure impact of product changes
  • Coordinate data infrastructure work for high-quality analyses
  • Analyze large behavioral data sets to understand customer behavior
  • Develop statistical models for customer behavior and product performance
  • Calculate downstream impact of customer actions across Mailchimp and Intuit ecosystems
  • Guide product analysts and researchers on research studies
  • Create reporting and dashboards using SQL, R/Python, Looker, Tableau
  • Develop narratives and recommendations from analyses
  • Define KPIs and build dashboard reporting
  • Build analytics roadmaps to support Product roadmaps

Requirements For Staff Product Scientist (Mailchimp)

Python
  • 5-7 years of experience in an analytics-focused role
  • Experience in technology company
  • Expertise in SQL, Python/R
  • Experience with statistical methods
  • Experience with data visualization tools (Looker and Tableau)
  • Experience with cloud based data warehouses
  • Bachelor's or Graduate degree in quantitative field
  • Knowledge of web analytics and user behavior analysis
  • Experience with Causal Inference methods is a plus
  • Experience with distributed computing is a plus

Benefits For Staff Product Scientist (Mailchimp)

Relocation Benefits
  • Relocation Benefits

Interested in this job?

Jobs Related To Intuit Staff Product Scientist (Mailchimp)

Staff Data Scientist

Staff Data Scientist role at Intuit focusing on innovative ML/AI solutions for financial technology products, requiring 8+ years experience and strong analytics skills.

Senior Staff Data Scientist

Senior Staff Data Scientist role at Intuit focusing on developing data-driven solutions for QuickBooks Money team to help small-medium businesses manage payments and cash flow.

Manager 2, Data Science

Senior Data Science Manager position at Intuit, leading AI and machine learning initiatives for financial technology products.

Manager 3, Data Products Engineering

Lead data engineering teams at Intuit's Mailchimp division, managing data pipelines and products for Product and Finance teams while fostering inclusive team culture.

Senior Staff Data Scientist

Senior Staff Data Scientist position at Intuit, leading AI initiatives and developing machine learning solutions for financial technology products.