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Senior Data Scientist

Intuit

Salary not specified
Aug 13, 2025
Plano, TX, US
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Scaling and supporting Full Service WIP strategy and outreach, optimizing the customer journey for outreach adoption, driving customer conversion, and increasing customer lifetime value.

Requirements

  • Proven ability to extract insights from data and communicate compelling data-driven stories that drive business impact.
  • Strong SQL skills for data extraction and manipulation.
  • Expertise in data visualization tools (e.g., Tableau, Qlik).
  • Experience with Python or R for advanced analytics, modeling, and automation is a plus.
  • Familiarity with big data tools (e.g., Snowflake, Spark, Databricks) is a plus.
  • Machine learning and Generative AI experience is a plus.
  • Strong problem-solving and end-to-end quantitative thinking skills.

Responsibilities

  • Drive strategic thinking and cross-functional alignment around data-driven approaches to optimize product and marketing efforts based on customer segments, lifecycle stages, and other critical customer attributes
  • Lead deep exploration of customer data and spearhead customer segmentation, LTV modeling, and other actionable analysis/modeling
  • Develop (alongside product and marketing counterparts) experimentation plans to measure and optimize execution of data-driven strategies across execution, targeting, and personalization
  • Leverage machine learning, predictive analytics, and AI-driven solutions to improve decision-making
  • Optimize and manage data pipelines to ensure scalable and efficient reporting
  • Partner with cross-functional stakeholders to better understand our users and create a single, accurate view of a customer across businesses to make decisions about how best to acquire/retain them, segment, identify high potential value, and proactively interact with them
  • Partner with business leaders (e.g. product, business development and finance) to define business strategies, areas of investment, and critical priorities

Other

    • 4+ years of experience in data science, analytics, or a related field.
  • Ability to manage multiple projects simultaneously in a fast-paced environment.
  • Passion for mentorship and developing talent within the team.
  • Proactive and growth-oriented mindset—you identify opportunities for innovation rather than just responding to problems