Staff Data Scientist, CRM & Lifecycle Marketing

Intuit; Mountain View (CA); On-site; USD 194,000 - 263,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit is seeking a Staff Data Scientist for the TurboTax CRM and Lifecycle Marketing data science team in Mountain View, CA. The role focuses on evolving from campaign optimization to customer journey design, driving strategy, analytics, and data-powered decisions.

You will partner with Tax leadership and marketing teams, design experiments, develop predictive models, and build self-serve data tools to scale insights across journeys and audiences.

Qualifications

• 8+ years of experience in data science and analytics, with demonstrated ability to drive strategy and impact across a business area.
• First-principles thinking to translate ambiguous strategy into analytical problems.
• Design and interpret complex experiments beyond traditional A/B testing; apply causal inference when experimentation is constrained.
• Deep expertise in causal inference, segmentation, journey analytics, and experimentation design.
• Experience building and owning predictive models through their lifecycle.
• Experience creating reusable frameworks, methodologies, and data products.
• Proficiency in SQL and a statistical programming language (Python or R).

Responsibilities

• Shape Lifecycle Marketing strategy using data and framing the right question.
• Convert challenges into analytical frameworks, metric trees, and testable hypotheses for CRM roadmap.
• Define north-star metrics and success across customer journey stages.
• Apply causal measurement and counterfactual reasoning to identify drivers of outcomes.
• Design and run experiments, holdouts, and synthetic tests when clean A/B tests are unavailable.
• Translate findings into actionable recommendations for Directors and VP-level stakeholders.
• Deliver insights at scale across journeys, cohorts, funnels, and lifetime value.

Skills

Data science strategy

Causal inference

Experiment design

Predictive modeling

Communication & stakeholder management

SQL familiarity

Python or R

Education

Statistics/Math/CS degree

Tools

SQL

Python

R

GenAI

LLM-as-judge

A/B testing

MMM

Multi-touch attribution

Job description

Staff Data Scientist role on Intuit’s TurboTax CRM and Lifecycle Marketing data science team, focused on moving from campaign optimization to customer journey design.

Responsibilities

• Shape Lifecycle Marketing strategy using data, including framing the right question before analysis is requested
• Convert ambiguous marketing and product challenges into analytical frameworks, metric trees, and testable hypotheses that influence the CRM roadmap and resourcing
• Partner with Tax leadership and Lifecycle Marketing to define north-star metrics, align on learning plans, and define success across the customer journey stages (re-engagement, start through completion, attach, and return the following year)
• Apply causal measurement and counterfactual reasoning to identify what truly moved key outcomes, including campaign incrementality, journey-level lift, channel mix, halo, and retention
• Design and run experiments, quasi-experiments, holdouts, and synthetic tests when clean A/B testing is not available
• Act as a strategic data science partner across Marketing, Product, Data Engineering, Finance, and adjacent growth teams (paid acquisition, Credit Karma, in-product messaging)
• Translate complex findings into actionable recommendations for Director- and VP-level stakeholders, and drive execution through the appropriate decision channel (Slack, readout, model, or working session)
• Deliver insights at scale through analyses on journeys, audience segments, funnel and cohort performance, and lifetime value to pinpoint where CRM has the most leverage
• Design segmentation and personalization approaches to improve targeting, reduce wasted volume, and free messaging capacity for high-value journeys
• Build dashboards, visualizations, and self-serve tools, including GenAI-powered applications, enabling faster action from marketing and leadership
• Identify, size, and prioritize AI use cases for CRM (personalization, journey orchestration, insight generation) based on business value, using evaluation frameworks to certify non-deterministic experiences (golden datasets, LLM-as-judge with human review, synthetic tests)
• Create and maintain data products used by the business area and its agents, including prototyping data models, pipelines, and surfaces, then partnering with engineering to harden production-ready solutions
• Automate recurring analytical bottlenecks into trusted agentic systems that stakeholders can run independently, with encoded business logic, monitoring, and clear guidance on what can run without a human in the loop
• Champion data hygiene, instrumentation, and decision governance for CRM reporting and campaign measurement

Requirements

• 8+ years of experience in data science and analytics, with demonstrated ability to drive strategy and impact across a business area (CRM, lifecycle marketing, growth, retention, or equivalent); consumer subscription, fintech, or large-scale owned-channel marketing experience strongly preferred
• Track record of first-principles thinking to translate ambiguous business strategy into analytical problems, including framing the question prior to analysis
• Proven ability to design and interpret complex experiments beyond traditional A/B testing, and apply causal inference when experimentation is constrained (holdouts, quasi-experiments, incrementality; MMM or multi-touch attribution used as inputs, not substitutes, for causal claims)
• Deep expertise in causal inference, customer segmentation, journey analytics, and experimentation design, with judgment to balance statistical rigor and business considerations
• Experience building and owning predictive models through their lifecycle (classification, regression, propensity, or similar), accountable for decisions informed by the models
• Experience creating reusable frameworks, methodologies, and data products that are adopted across the broader analytics and marketing community
• Fluency in SQL and a statistical programming language (Python or R); experience partnering with engineering to harden pipelines, instrumentation, and production data products
• Exceptional communication and stakeholder influence, including the ability to influence Director- and VP-level leaders across business and technical teams
• Ability to operate effectively in a fast-paced, seasonal business with minimal guidance, making fast data-driven decisions across one-way vs. two-way door situations
• Ability to use AI-native tools to plan, implement, and synthesize analyses across experiment readouts, quasi-experimental methods, revenue and retention deep dives, and measurement of journey or campaign launches
• Comfort sizing AI use cases and evaluating non-deterministic systems, not limited to using AI for personal productivity
• BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field (advanced degree preferred)

Technologies

• SQL
• Python
• R
• GenAI
• LLM-as-judge
• A/B testing
• MMM
• Multi-touch attribution

Compensation

• Salary: USD 194,000 - 262,500 per year

Benefits

• 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, per applicable plans and programs

Location

• Mountain View, CA (onsite)

Nice to Have

• Hands-on experience with CRM platforms (e.g., Braze) and owned-channel measurement (email, push, SMS, in-app)
• Experience designing journey-level measurement (behavioral milestones, coordinated intent) alongside campaign-level operational metrics
• Familiarity with marketing mix models and multi-touch attribution, including when not to treat them as causal evidence