Staff Data Scientist, CRM & Lifecycle Marketing

Intuit

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Mountain View, CASan Francisco, CASan Diego, CA
Salary: $194,000–$262,500 / yr
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $228k

$114k $278k

below market most similar roles pay here above market

This role pays more than 82% of similar roles. Most pay $145,200–$214,500 — the blue band above. At the midpoint, this role pays about $228k versus about $180k for comparable roles.

Based on 240 similar postings.

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 259 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 240 roles with salary data.

Most-posted roles

View all roles at Intuit

At a glance

TL;DR · Staff Data Scientist, CRM & Lifecycle Marketing

Role Posting Log in to save

As a Staff Data Scientist, CRM & Lifecycle Marketing, you will join the TurboTax CRM and Lifecycle Marketing data science team to design customer engagement strategies across owned channels. You will shift CRM from campaign-level optimization to customer journey design by defining metrics, causal levers, and learning plans. Your daily work involves building measurement and data products, conducting deep-dive analyses on customer journeys and lifetime value, and designing segmentation strategies. You will apply causal inference, counterfactual reasoning, and experimentation design to isolate true metric movement. Key technologies include SQL, Python, or R, alongside GenAI-powered applications and agentic systems. You will translate complex findings into recommendations for leadership, solving the business problem of moving customers through behavioral milestones to drive long-term retention and product engagement.

What does a Data Scientist earn in California?

Median $214500 from 118 postings across 27 companies.

See salary data

Skills

Causal Inference Python SQL R A/B Testing GenAI LLM Customer Segmentation Multi-touch Attribution Statistics Experimentation Design CRM Data Products

What you'll do

Translate ambiguous marketing problems into analytical frameworks, metric trees, and testable hypotheses to guide the CRM roadmap.
Apply causal inference and counterfactual reasoning to isolate the true impact of campaigns, journeys, and channel mixes.
Design and execute experiments, quasi-experiments, and holdouts to measure incrementality and retention lift.
Develop segmentation and personalization strategies to improve targeting and maximize customer lifetime value.
Build and maintain data products, including dashboards, visualizations, and GenAI-powered applications for marketing leadership.
Identify and prioritize AI use cases for journey orchestration and personalization using rigorous evaluation frameworks.
Automate recurring analytical bottlenecks into trusted agentic systems with encoded business logic and monitoring.
Partner with engineering to harden data pipelines, instrumentation, and production data products.

What we're looking for

8+ years of experience in data science and analytics driving strategy in CRM, lifecycle marketing, growth, or retention.
BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field (advanced degree preferred).
Deep expertise in causal inference, customer segmentation, journey analytics, and experimentation design.
Proven success designing and interpreting complex experiments, including holdouts, quasi-experiments, and incrementality.
Experience building and owning predictive models through their lifecycle, including classification, regression, and propensity models.
Fluency in SQL and a statistical programming language like Python or R.
Experience creating reusable frameworks, methodologies, and data products adopted by broader analytics and marketing communities.
Exceptional communication skills to influence Director- and VP-level leaders across business and technical teams.
Hands-on experience with CRM platforms and owned-channel measurement (preferred).
Experience designing journey-level measurement alongside campaign-level operational metrics (preferred).
Familiarity with marketing mix models and multi-touch attribution (preferred).