Intuit's QuickBooks Money team is developing innovative tools to help small-medium businesses (SMBs) get paid faster and with confidence. The Sales Data Science team aims to deliver and drive business impact by developing insights, models, and strategic thought partnership that helps accelerate GBSG's growth, specifically by improving Sales efforts.
Requirements
- 10+ years of experience in data science or analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
- Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit
- Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors.
- Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
- Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work
- Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models etc.
Responsibilities
- 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
- 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.
- 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
- Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models etc.
Other
- The 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.
- Outstanding communication skills with the ability to influence decision makers and build consensus with teams
- Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
- BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related eld; equivalent experience will be considered
- Experience in the fintech or SMB space is highly preferred.
