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Staff Data Scientist

Category Data Location Mountain View, California; San Diego, California Job ID 2025-68845
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Global Business Solutions Group (GBSG) aims to become the connected E2E platform that small and mid-market businesses rely on every day to run their business, growing revenue and profitability 2x faster. At the center of this vision, the QuickBooks Money team is developing innovative tools to help customers get paid faster and with confidence. Our expanding suite of offerings and new

go-to-market strategies aim to further enhance SMBs' ability to accept payments seamlessly.

The Payments Product Data Science team on the GBSG Data Science & Analytics organization’s mission is to deliver delightful customer experiences and drive business impact by developing insights, models, and strategic thought partnership that helps small and mid-market business customers get paid and accelerates GBSG’s growth. We collaborate with Product Management, Commercial,

Go-to-market, Finance, Business Operations, Design, and Engineering teams to drive data-driven decisions through strategic thinking, data analysis, experimentation, and predictive analytics.

As a Staff Data Scientist on the Product Data Science team, you will dive deep into our data to uncover actionable insights and make recommendations that will influence the company’s strategic decisions, especially with building products that solve small & mid-market business customers’ biggest pain point of getting paid . The ideal candidate will have a strong background in quantitative analysis using large data sets, and in data-driven decision making.

Responsibilities

As a Staff Data Scientist on the Product Data Science team, you will dive deep into our data to uncover actionable insights and shape strategic decisions. Your contributions will directly impact our product development to address one of SMBs’ biggest challenges: getting paid on time. This role requires a strong background in quantitative analysis, data-driven decision-making, and expertise in working with large data sets

 

  • Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics and make actionable recommendations
  • Drive strategic insights that shape the future of Money-movement ecosystem products within Intuit, impacting millions of small businesses
  • Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation
  • Build and apply durable customer segmentation patterns to refine product targeting, positioning, and customer experience
  • Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive product strategy and growth
  • Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders

Qualifications

The ideal candidate is a curious, proactive data scientist with experience in building scalable solutions, a strong understanding of customer behavior, and a passion for fintech.

  • 6+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
  • Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors. Experience in the fintech or SMB space is highly preferred.
  • Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
  • Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work. Proficiency in using AI tools for the same is a plus
  • Outstanding communication skills with the ability to influence decision makers and build consensus with teams
  • Advanced SQL skills and familiarity with data visualization tools such as Qlik, Tableau, Plotly Dash etc.
  • Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
  • Familiarity with Linux/OS X command line, version control software (git), and general software development
  • Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
  • Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models

Preferred Additional Qualifications

 

  • Experience solving growth-related problems at financial technology companies serving consumer or SMBs
  • Familiarity with Generative AI and other evolving technologies to accelerate insights from multi-modal data
  •  
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We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst

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