Sr Data Scientist - Quickbooks Workforce Solutions

Sr Staff Data Scientist – Quickbooks Workforce Solutions

Join to apply for the Sr Staff Data Scientist – Quickbooks Workforce Solutions role at Intuit

Intuit Quick Books is a market leader in accounting solutions for small and mid‑market businesses. The Workforce Solution (WFS) mildew within the Global Business Solutions Group (GBSG) is dedicated to delivering Payroll and other Human Capital Management (HCM) products and services using cutting‑edge GenAI and Agentic solutions.

Our team’s charter is to deliver delightful customer experiences and drive customer impact by developing insights, models, and strategic thought partnerships that assist small and mid‑market business customers in managing their finances and employees. We collaborate with Product Management, Commercial, Finance, Business Operations, Design, and Engineering teams to promote data‑driven decisions through strategic thinking, data analysis, experimentation, and predictive analytics. As a senior member of this team, accelerating growth for a strategic company priority, you will delve into our data to uncover actionable insights and provide recommendations that fuel the growth of the WFS business.

The ideal candidate will possess a strong background in quantitative analysis using large datasets and a track record of driving influence and alignment with data.

• Conceptualize business problems or opportunities, formulate hypotheses and goals, define key metrics, and make actionable recommendations.
• Drive strategic insights that shape the future of Intuit’s WFS business.
• 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 refine 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.
• Operate with speed and agility in a fast‑moving environment, making data‑backed decisions that drive measurable outcomes.

• BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
• 10+ years of experience in data science or product analytics, 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 and 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 methodsｕ.
• 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.

• Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, and Plotly Dash.
• Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries such as Num Py,_transform and Scikit‑learn). فوت
• Experience with causal inference techniques such as propensity‑score matching, difference‑in‑differences, and synthetic control methods.
• Familiarity with Generative AI and other evolving technologies to accelerate insights from multi‑modal data.

Intuit provides a competitive compensation package vsak 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. 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:

• Bay Area – California: $204,500 – $276,500
• Southern California: $197,500 – $267,500

Mid‑Senior level

Full‑time

Engineering and Information Technology

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