Senior Staff Data Scientist, Personal Finance

Intuit; Oakland (CA); On-site; USD 211,000 - 285,000; Full time

Job summary

Intuit is seeking a Senior Staff Data Scientist to lead analytics for the Insurance business. You will set the analytics vision, partner with Product, Marketing, Engineering, and AI Science, and translate complex customer dynamics into strategic actions that improve member value and business outcomes.

You will guide experimentation, measurement frameworks, and personalization efforts, while mentoring others and delivering scalable analytical capabilities across initiatives.

Qualifications

• 9+ years of experience in data science and analytics with impact across initiatives.
• Apply first-principles thinking to translate problems into analytical strategies.
• Expertise in experimentation, causal inference, segmentation, funnel optimization, and measurement.
• Experience applying ML techniques to business problems (classification, regression, ranking, targeting).
• Ability to connect insights across analyses to guide product and business strategy.

Responsibilities

• Set analytics strategy for Insurance, translating business goals into high-impact data science opportunities.
• Influence senior leaders using data, insights, and external trends to shape priorities.
• Build durable understanding of customers and marketplace across experiments and signals.
• Lead experimentation and causal measurement, including advanced methods beyond traditional A/B testing.
• Advance personalization and matching, improving targeting and ranking with Product and AI Science.
• Define measurement architecture and health metrics for acquisition, engagement, conversion, and value.
• Identify growth opportunities via first-principles analysis and prioritize investments.
• Develop reusable frameworks and scalable analytical capabilities across Insurance and Personal Finance.
• Mentor Data Scientists and elevate analytical practices while staying hands-on on high-leverage problems.

Skills

Data science leadership

First-principles thinking

Experimentation & causal inference

Customer segmentation

Funnel optimization

Machine learning techniques

Stakeholder management

Cross-functional collaboration

Communication

Job description

Overview

We are seeking a Senior Staff Data Scientist to serve as the analytical leader and strategic thought partner for our Insurance business. This is a high-impact individual contributor role where you will set the analytics and measurement vision, raise the scientific bar, and influence the product, marketing, and business strategy for Insurance.

Overview

We are seeking a Senior Staff Data Scientist to serve as the analytical leader and strategic thought partner for our Insurance business. This is a high-impact individual contributor role where you will set the analytics and measurement vision, raise the scientific bar, and influence the product, marketing, and business strategy for Insurance. You will partner closely with senior leaders across Product, Marketing, Engineering, AI Science, and our insurance ecosystem to identify the biggest opportunities across the end-to-end member journey—from creating awareness and intent, to improving shopping and matching, to driving conversion and delivering measurable member value. The ideal candidate combines deep analytical and scientific expertise with strong business judgment. You will operate effectively in ambiguity, connect insights across initiatives, and translate complex customer and marketplace dynamics into strategies that drive both member and business outcomes.

Responsibilities

• Set the analytics strategy for Insurance: Define the analytical and measurement vision across the end-to-end insurance journey, translating business strategy into a portfolio of high-impact data science opportunities.
• Influence business and product strategy: Serve as a strategic thought partner to senior Product, Marketing, and business leaders, using data, customer insights, and external trends to shape priorities and investment decisions.
• Build durable customer and marketplace understanding: Connect insights across behavioral data, experiments, models, and external signals to understand insurance needs, shopping behavior, price sensitivity, conversion, and member value.
• Lead experimentation and causal measurement: Establish rigorous approaches to measuring incrementality across the insurance funnel, including complex experiments and causal inference methodologies where traditional A/B testing is constrained.
• Advance personalization and matching: Partner with Product and AI Science to improve targeting, ranking, matching, and personalization—helping connect members with the right insurance opportunities at the right time.
• Shape the AI-native Insurance roadmap: Co-create the analytics and AI strategy for emerging insurance experiences, establishing measurement frameworks that connect model and experience quality to member and business outcomes.
• Define the measurement architecture: Establish the metrics, leading indicators, and frameworks used to evaluate the health of the Insurance business, including acquisition, engagement, conversion, retention, member savings/value, and economics.
• Identify and size new growth opportunities: Use first-principles analysis to uncover opportunities across the funnel, quantify their potential impact, and help leadership prioritize where to invest.
• Build scalable scientific capabilities: Develop reusable frameworks, methodologies, datasets, and analytical tools that improve decision-making across Insurance and can scale to the broader Personal Finance organization.
• Raise the scientific bar and develop talent: Mentor and elevate Data Scientists, establish analytical best practices, contribute to hiring and calibration, and scale your impact through others while remaining hands‑on in the highest-leverage problems.

Qualifications

• 9+ years of experience in data science and analytics, with a track record of driving strategy and measurable business impact across multiple initiatives or complex customer journeys.
• Demonstrated ability to apply first-principles thinking to translate ambiguous business problems into analytical strategies and actionable decisions.
• Deep expertise in experimentation, causal inference, customer segmentation, funnel optimization, and measurement, with the judgment to balance statistical rigor with business realities.
• Experience applying machine learning techniques—including classification, regression, ranking, targeting, or propensity modeling—to customer and business problems.
• Proven ability to connect insights across multiple analyses and initiatives to develop a broader understanding of customer behavior and influence product or business strategy.
• Experience creating reusable analytical frameworks, methodologies, and capabilities that are adopted beyond an individual project or team.
• Exceptional communication and stakeholder influence skills, with demonstrated ability to influence Director- and VP-level leaders across business and technical organizations.

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

Oakland $210,500 - $284,500