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Staff Data Scientist
Staff Data ScientistIntuit • Mountain View, CA, United States
Staff Data Scientist

Staff Data Scientist

Intuit • Mountain View, CA, United States
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  • [job_card.full_time]
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Overview

Come join the Intuit Finance Data Science & Strategy team as a Staff Data Scientist! In this role, you will help drive data-backed strategic initiatives across the Intuit portfolio, primarily focused on opportunities within our Consumer Group. We are looking for creative problem solvers with a passion for delivering data-driven insights. You will partner closely with finance strategy, FP&A, data engineering, and various business partners to directly impact our business results and accelerate Intuit’s growth.

Responsibilities

  • Leveraging predictive modeling, advanced analytics and causal inference methods to identify new opportunities to grow the business exploring unit economics, market dynamics, product migration, cross‑selling, product growth levers, price / spend optimization, etc.
  • Perform end‑to‑end analytics using advanced SQL, ML and AI to extract business insights that drive tangible value for our customers and result in business growth.
  • Leverage data visualization and dashboarding tools such as Tableau to help uncover key business insights and improve team automation and self‑service analytics.

Disseminate business insights to cross‑functional stakeholders and influence decision‑making.

  • Keep up with evolving trends and advancements in data analytics to drive innovation and continuously improve business processes.

    • Qualifications

  • 6+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact.
  • Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, BigQuery), and BI tools (e.g., Tableau, Qlik, Dash). Qlik certification is a big plus
  • Passion for uncovering strategic opportunities and a strong business acumen and the ability to translate business strategy into testable hypotheses and insights

    • High‑level understanding of advanced statistical modeling and ML methodologies such as causal inference techniques with a strategic understanding of their application

  • Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations.
  • Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership.
  • Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross‑functional teams.
  • Comfortable working in a fast‑paced environment and have flexibility to shift priorities when needed.
  • Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master’s Degree preferred. Or equivalent work experience.

    • Preferred Additional Experience

  • Working knowledge of Consumer Finance platforms’ (e.g., TurboTax) data and business model.
  • Understanding of forecasting processes, financial reporting, time value of money, and other financial concepts.
  • Understanding of AI‑native architectures and GenAI platforms; able to assess implications for data, testing, and behavior

    • Benefits & Compensation

    Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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 :

    Seniority level

    Mid‑Senior level

    Employment type

    Full‑time

    Job function

    Engineering and Information Technology

    Industries

    Software Development

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