Senior Data Scientist - Consumer Group

Intuit Inc.; San Francisco (CA); On-site; USD 163,000 - 220,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit Inc. is seeking a Senior Data Scientist to lead consumer measurement science for Credit Karma, focusing on forecasting, funnel and metric foundations, and consumer insights and segmentation.

You will own business forecasting and analytics, turning member behavior into actionable decisions for revenue and product teams. This high-visibility role requires strong SQL/Python, ML methods, and cross-functional collaboration with Strategy, Finance, Product, and Marketing to drive strategy and

Qualifications

• 4+ years in data science, analytics, or related field with proven business impact.
• SQL and Python for data analysis, modeling and experimentation.
• Experience applying ML to real-world problems (e.g., churn/retention forecasting, segmentation).
• Proven ability to translate complex analyses into clear, actionable business insights.
• Track record of data storytelling and influencing senior stakeholders and shaping business strategy.

Responsibilities

• Own CK's business forecasting and projections across revenue, funnel, and engagement.
• Own the consumer funnel and metric foundation, including governance and holistic reporting.
• Build CK's consumer insights and segmentation engine with measurable lift.
• Partner with revenue, product, and finance to translate findings into strategic recommendations.
• Establish standards and governance for defining, measuring, and reporting customer and business health.
• Lead cross-functional collaboration with Strategy, Finance, Product, and Marketing.

Skills

SQL

Python

Machine learning

Statistical methods

Data storytelling

Cross-functional collaboration

Time series forecasting

Cohort analysis

Customer lifecycle modeling

AI tools

Job description

We are seeking a SeniorData Scientist to help build and lead consumer measurement science for Credit Karma, with a focus on business forecasting, funnel and metric foundations, and consumer insights and segmentation. This role sits at the intersection of analytics and machine learning, and operates as a key driver of business performance.

You will build and own CK's business forecasting, its consumer funnel and metric foundation, and its consumer insights and segmentation engine — turning day-to-day member behavior into decisions that revenue and product teams can act on. This is a high-visibility, high-ownership role for someone who wants to stand up a measurement and forecasting discipline from the ground up and see it directly shape strategy.

Responsibilities

Own CK's business forecasting and projections across revenue, funnel, and engagement — enabling resource and investment decisions to be made weeks earlier than today's backward-looking reporting allows.

Own the consumer funnel and metric foundation for CK: causal metric identification, definition, and governance; holistic business-management reporting; and funnel diagnostics that connect day-to-day customer behavior and operating signals to tangible business outcomes.

Build CK's consumer insights and segmentation engine — turning behavioral and engagement data into actionable segments and predictive cohort views that revenue and product teams can activate against, with measurable lift in activation, monetization, multi-product adoption, and retention.

Partner with revenue, product, and finance teams to translate analytical findings into strategic recommendations and drive adoption of these capabilities in day-to-day decision-making.

Establish the standards and governance for how CK defines, measures, and reports on customer and business health, ensuring a single, trusted source of truth.

Qualifications

4+ years of experience in data science, analytics, or a related field, with a strong track record of driving business impact

Expertise in SQL and Python for data analysis, modeling, and experimentation

Experience applying statistical methods and machine learning to real-world problems (e.g., churn/retention modeling, segmentation, forecasting)

Proven ability to translate complex analyses into clear, actionable business insights

Track record of data storytelling and influencing senior stakeholders and shaping business strategy

Demonstrated success working cross-functionally with partners such as Strategy, Finance, Product, or Marketing

Ability to operate independently and lead through ambiguity in a fast-paced environment

Experience with time series forecasting, cohort analysis, and customer lifecycle modeling

Experience leveraging AI tools (e.g., Claude, ChatGPT) to enhance data science workflows

Experience supporting high-stakes, seasonal, or rapidly evolving businesses

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: San Francisco $162,500 - $220,000