Get new jobs for this search by email

Join to apply for the Staff Data Scientist role at Intuit

3 days ago Be among the first 25 applicants

Join to apply for the Staff Data Scientist role at Intuit

Get AI-powered advice on this job and more exclusive features.

Overview
The Customer Success Data Science team’s mission is to deliver delightful customer experiences via digital and expert channels and drive business impact by developing insights, models, and strategic thought partnership to help small and mid-market business customers. We collaborate with Product, Finance, Business Operations, Design, and Engineering teams to drive data-driven decisions through strategic thinking, data analysis, experimentation, and predictive analytics.

Overview
The Customer Success Data Science team’s mission is to deliver delightful customer experiences via digital and expert channels and drive business impact by developing insights, models, and strategic thought partnership to help small and mid-market business customers. We collaborate with Product, Finance, Business Operations, Design, and Engineering teams to drive data-driven decisions through strategic thinking, data analysis, experimentation, and predictive analytics.
As a Staff Data Scientist, you will serve as a strategic thought partner to cross-functional leaders, bringing deep analytical expertise and business acumen to bear on Intuit’s most critical growth questions. You will dive deep into our data to uncover actionable insights and make recommendations that will influence the company’s strategic decisions. This is a unique opportunity to apply your passion for data and causal reasoning to shape the future of financial empowerment for millions of users.
What you'll bring
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 field
• 6+ 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 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. Proficiency in using AI tools for the same is a plus
• Outstanding communication skills with the ability to influence decision makers and build consensus with teams
• Advanced SQL skills and familiarity with data visualization tools such as Qlik, Tableau, Plotly Dash etc.
• Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
  

Preferred Additional Qualifications

• Experience solving growth-related problems at financial technology companies serving consumer or SMBs
• Familiarity with Generative AI and other evolving technologies to accelerate insights from multi-modal data
• Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
• Familiarity with version control software (git), and general software development
• 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
  

How you will lead
As a Staff Data Scientist on the Customer Success Data Science team, you will dive deep into our data to uncover actionable insights and shape strategic decisions. 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
• Drive strategic insights that shape the future of Customer success ecosystem
• Develop predictive models, conduct experimentation beyond A/B testing, and generate actionable customer insights that inform decision making and business growth
• Build and apply durable customer segmentation patterns to refine targeting, positioning, and customer experience
• Partner closely with Product Management, Marketing, Engineering, Design, and Analytics leaders to deliver insights that drive customer success strategy and growth
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders, and business leaders

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at Intuit by 2x

Get notified about new Data Scientist jobs in San Diego, CA .

Data Scientist II – Experimentation & Measurement

Data Scientist – Python | PySpark | MLflow | Predictive Maintenance | Audit Analytics (Hybrid)

Machine Learning Engineer, Computer Vision

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr