Overview
On Site
Full Time
Skills
Management
Cash Flow
QuickBooks
Go-To-Market Strategy
AIM
Payments
Partnership
Collaboration
Finance
Business Operations
Strategic Thinking
Data Analysis
Predictive Analytics
Data Science
Google Tag Manager (GTM)
Quantitative Analysis
Decision-making
Educate
Motivation
A/B Testing
Innovation
Customer Experience
Sales
Product Marketing
Engineering Design
Analytics
Product Strategy
Job Details
Intuit's Global Business Solutions Group (GBSG) is dedicated to creating tools and services that dramatically increases 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 on 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 partner 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 dive deep into our data to uncover actionable insights and make recommendations that will influence the company's strategic decisions, especially with improving Sales efforts. The ideal candidate will have a strong background in quantitative analysis using large data sets, demonstrated growth hacking experience, and in data-driven decision making.
Responsibilities
As a Senior Staff Data Scientist on the Sales Data Science team, you will dive deep into our data to uncover actionable insights and shape strategic decisions. Your contributions will directly impact our GTM strategies 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, key metrics and make actionable recommendations Drive strategic insights through effective storytelling with data, to educate and instill confidence, motivating stakeholders to act on recommendations. Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform Sales innovation Build and apply durable customer segmentation patterns to renew targeting, positioning, and customer experience Partner closely with Sales, Product, 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
Responsibilities
As a Senior Staff Data Scientist on the Sales Data Science team, you will dive deep into our data to uncover actionable insights and shape strategic decisions. Your contributions will directly impact our GTM strategies 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, key metrics and make actionable recommendations Drive strategic insights through effective storytelling with data, to educate and instill confidence, motivating stakeholders to act on recommendations. Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform Sales innovation Build and apply durable customer segmentation patterns to renew targeting, positioning, and customer experience Partner closely with Sales, Product, 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
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