Senior Staff Data Scientist

Company: Intuit
Location: Mountain View
Posted on: June 2, 2025

Job Description:

Intuit's Global Business Solutions Group (GBSG) is dedicated to creating tools and services that dramatically increase the ability of small-medium businesses (SMBs) to manage cash flow. At the center of this mission, 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 Sales Data Science team within the GBSG Data & Analytics organization's mission is to deliver and drive business impact by developing insights, models, and strategic thought partnership that helps accelerate GBSG's growth. We collaborate with Sales, Product, Finance, Business Operations, Design, and Engineering teams to foster data-driven decisions through strategic thinking, data analysis, experimentation, and predictive analytics.As a Senior Staff Data Scientist on the Sales Data Science team partnering with our Money Growth Mission Team, you will analyze data to uncover actionable insights and make strategic recommendations that influence company decisions, particularly in improving Sales efforts. The ideal candidate will have a strong background in quantitative analysis using large data sets, demonstrated growth hacking experience, and a focus on data-driven decision making.Responsibilities

• Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics, and make actionable recommendations.
• Drive strategic insights through effective storytelling with data to educate stakeholders and motivate action.
• Develop predictive models, conduct experiments beyond traditional A/B testing, and generate insights to inform Sales innovation.
• Build and apply customer segmentation patterns to enhance targeting, positioning, and customer experience.
• Partner closely with Sales, Product, Marketing, Engineering, Design, and Analytics leaders to deliver insights that inform product strategy and growth.
• Translate complex data insights into actionable recommendations for both technical and non-technical stakeholders and business leaders.Ideal CandidateThe 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.Minimum Qualifications

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or related field; equivalent experience considered.
• 10+ years of experience in data science or analytics, preferably in fintech, with expertise in predictive modeling, customer segmentation, and experimentation.
• Ability to formulate data-backed strategies that drive growth and enhance customer benefits.
• Experience generating hypotheses based on customer behavior, industry trends, and market factors; fintech or SMB experience is highly preferred.
• Experience designing and interpreting complex experiments beyond traditional A/B testing.
• Proven ability to build reusable, scalable analytics solutions emphasizing efficiency.
• Excellent communication skills to influence decision-makers and build consensus.Additional Skills
  • Quick learner, adaptable, and able to work independently or in teams in a fast-paced environment.
  • Experience applying statistical and machine learning techniques to solve business problems, such as propensity modeling, customer health scoring, and next best action models.Technical Skills
    • Advanced SQL skills and proficiency with visualization tools like Qlik, Tableau, or Plotly Dash.
    • Strong analytical and modeling skills using Python (libraries such as numpy, pandas, scikit-learn).
    • Familiarity with Linux/OS X command line, version control software (git), and software development best practices.
      #J-18808-Ljbffr

Keywords: Intuit, Napa , Senior Staff Data Scientist, Accounting, Auditing , Mountain View, California