Staff Data Scientist — CRM & Lifecycle Marketing (AI-Driven)

Intuit; San Diego (CA); On-site; USD 194,000 - 263,000; Full time

Job summary

Intuit’s TurboTax CRM and Lifecycle Marketing data science team seeks a Staff Data Scientist to design and scale analytics that move customers through the lifecycle, boost retention, and maximize lifetime value.

You will frame critical questions, build causal models, and partner with Marketing, Product, Engineering, and Tax leadership to deliver data products and experimentation that inform CRM strategy at scale.

Qualifications

• 8+ years of data science experience across CRM or lifecycle marketing.
• Strong ability to translate business problems into analytical frameworks.
• Proficiency in causal inference and experimentation design.
• Proficient in SQL and Python or R.
• Experience building predictive models end-to-end.
• Experience creating reusable data products and data platforms.
• Excellent communication with Directors/VPs across teams.
• Ability to navigate ambiguity in a fast-paced environment.
• Nice to have CRM platforms like Braze.

Responsibilities

• Frame questions and translate problems into analytical frameworks.
• Define north-star metrics and learning plans across the customer journey.
• Design experiments and causal analyses to inform decisions.
• Partner with cross-functional leaders to drive CRM strategy.
• Build dashboards and self-serve tools for rapid action.
• Develop AI-native measurement and data products for CRM.

Skills

SQL

Python

R

A/B testing

Causal inference

Experiment design

Customer segmentation

Communication

Stakeholder influence

Machine learning models

Education

BS in Statistics/Math/OR/CS/Engineering

MS in Statistics or related

Tools

Braze

Job description

Intuit’s TurboTax CRM and Lifecycle Marketing data science team seeks a Staff Data Scientist to design and scale analytics that move customers through the lifecycle, boost retention, and maximize lifetime value.

You will frame critical questions, build causal models, and partner with Marketing, Product, Engineering, and Tax leadership to deliver data products and experimentation that inform CRM strategy at scale.