Senior Staff Data Scientist

Intuit • San Diego, CA • 1h ago

Overview

Intuit's Services Group 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 Payments 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 Payments Data Science team on the GBSG Data & Analytics organization's mission is to deliver delightful customer experiences and drive business impact by developing insights, models, and strategic thought partnership that helps small and mid-market business customers on managing their money. We partner with Product Management, Commercial, Finance, Business Operations, Design and Engineering teams to foster data-driven decisions through strategic thinking, data analysis, experimentation, and predictive analytics.

As the Senior Staff Data Scientist working on an accelerating customer growth and breakthrough adoption of Payments offerings within the company, you will dive deep into our data to uncover actionable insights and make recommendations that will fuel growth. The ideal candidate will have a strong background in quantitative analysis using large data sets, demonstrated growth hacking experience on mature and high growth products, and in driving influence and alignment with data.

Responsibilities

As a Senior Staff Data Scientist on the Product Data Science team, you will dive deep into our data to uncover actionable insights and shape strategic decisions. Your contributions will directly impact our product development and go-to-market strategies of a brand new product and strategic bet. 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, define key metrics and make actionable recommendations

Accelerate performance diagnosis with specificity on drivers across internal and external trends and ideate actions to change performance trajectory

Drive strategic insights that shape the future of Money-movement ecosystem products within Intuit, impacting millions of small businesses

Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform product innovation

Build and apply durable customer segmentation patterns to renew product targeting, positioning, and customer experience

Partner closely with Product Management, 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

Qualifications

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.

BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related eld

10+ years of experience in data science or product 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 the fintech or SMB space is highly preferred.

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

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

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.

Technical Skills:

Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash

Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)

Familiarity with Linux/OS X command line, version control software (git), and general software development

Preferred Additional Qualications

Experience solving growth-related problems at financial technology companies serving consumer or SMBs

Learning mindset to add Generative AI and other evolving technologies to accelerate insights from multi-modal data

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 (https://www.intuit.com/careers/benefits/full-time-employees/) ). 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:

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Intuit

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