Intuit

Sr Data Scientist, Demand Planning

Intuit
US San Diego, CA, US
Onsite 2026-06-26
Announced salary
$149,500 - $202,500
Low
$91K
Median
$120K
High
$159K
Market in San Diego · BLS OEWS 2025
Estimated net pay
$8,656 - $11,355
/month · 31% withheld
after tax & contributions · Single, no dependents

Job description

**Overview** ------------ TurboTax Live Full Service is one of Intuit's fastest\-growing and most operationally complex offerings — connecting customers with expert tax preparers to complete their returns end\-to\-end. Getting demand planning right is mission\-critical: too little supply means customers wait; too much means stranded expert capacity and margin pressure. We are looking for a **Senior Data Scientist** to own demand planning for the Full Service business within the Consumer Group's Expert Network. This is an individual contributor role with significant scope and visibility — you will be the primary modeler, analyst, and thought partner on how we forecast FSO (Full Service Order) volume, convert funnel signals into staffing requirements, and improve forecast accuracy across pre\-season, in\-season, and off\-season horizons. **Responsibilities** **Demand Forecasting Ownership** * Own end\-to\-end demand forecasting for Full Service, from early\-season outlook through real\-time in\-season adjustments * Build and maintain models that translate customer funnel signals (trade\-up rates, FSO attach, offer acceptance) into workable demand inputs for capacity planning * Develop interval\-level, daily, and weekly forecasts that feed directly into staffing and partner capacity decisions across internal, JDA, CNX, and other TPA channels **Model Development \& Innovation** * Advance forecasting methodology — incorporating time\-series models, regression\-based approaches, and ML techniques to improve accuracy and reduce forecast error * Build scenario models and confidence intervals to support risk quantification (e.g., upside/downside demand cases for peak season planning) * Explore and incorporate new signal sources: marketing spend curves, product funnel data, historical tax filing trends, macroeconomic indicators **Cross\-Functional Partnership** * Serve as the embedded DS partner for Workforce Management and Capacity Planning, translating model outpu

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