Staff Data Scientist

Company Overview

Job Overview

Data as a Product has emerged as one of the most impactful applications of data in driving business outcomes. Organizations that treat data as a durable product—rather than a byproduct—can significantly reduce the time required to operationalize data for internal and external customer solutions.

Data Products sit at the intersection of Technology, Business, and Data, solving customer and business problems through the strategic application of data. This role is a Staff Data Scientist product leadership position responsible for driving end-to-end, cross-functional solutions that strengthen Intuit’s credit card data foundation while enabling new data-powered business opportunities. These efforts will improve segmentation and targeting, unlock new customer experiences, enable ML/AI use cases, and support the seamless flow of data across the ecosystem.

Responsibilities

• Serve as the Staff Data Scientist owning all Intuit credit card-related data products in the analytics environment, including data flows and architecture supporting ML/AI modeling, analytics, and internal and external reporting use cases.

• Execute with a strong technical mindset to unblock teams and accelerate progress on a 0-to-1 credit card product, while maintaining a capability-driven approach that prioritizes scalability, flexibility, and sound data governance.
• Own data governance, data quality, and data enablement across multiple teams, including AI science, data science, BI, risk and underwriting, collections, and operations.
• Own data products across the entire credit card lifecycle, including acquisition, engagement, rewards, underwriting, and collections.
• Create and drive a strategic roadmap of data capabilities and processes, with end-to-end ownership across UX, Engineering, Design, Marketing, Product, Legal, and other partners.
• Drive strategic thinking to identify opportunities for internal and external applications of data, pitch new ideas, and secure cross-functional alignment and resourcing to deliver new initiatives.
• Represent data innovation and strategy in operational and leadership forums to inspire data-driven decision-making and operational efficiencies.

• Streamline the organization’s ability to generate insights, make informed decisions, and pivot quickly through improved data accessibility and trust.
  Provide guidance to business leaders and stakeholders on how to best leverage available data to meet critical business goals.

• Bring hands-on experience designing scalable, performance-optimized data layers

Qualifications

• 8+ years of experience working in complex data domains, leading data strategy, instrumentation, and the development of data products to solve business and customer problems.

• Proven ability to manage complex, cross-functional initiatives end-to-end, driving organizational change through clear strategy and strong execution.
• Strong business acumen combined with deep understanding of the data lifecycle, and the ability to iteratively mature data to unlock higher-order business use cases.
• Proficiency with modern data and analytics tools, platforms, data models, including familiarity with modern data stack trends and best practices.
• Strong technical fluency in data flows and database languages, with the ability to speak the language of data engineers and software engineers, propose technical solutions, review code when needed, and diagnose root-cause data issues.
• Exceptional communication and leadership skills, with the ability to drive clarity, influence across functions, and get complex work executed quickly.

• Passion for mentoring and developing others while advancing team capability.

• A scrappy, hands-on mindset with a willingness to roll up sleeves, diagnose data issues, and creatively enable analytics and data access at speed.

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:

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