Intuit Senior Data Scientist - E2E Experience in Mountain View, California


Senior Data Scientist – Business Analytics, AccountantWe are looking for a hands-on Senior Data Scientist in the Small Business & Self-Employed Data Product, Analytics & Science team. The ideal candidate is a creative problem solver with a passion for product analytics and for delivering advanced data-driven solutions. You will work alongside customer experience leaders and product managers to help define, build and shape the future of the customer experience across Intuit’s ecosystem.

The TeamThe Small Business & Self-Employeed Data Product Analytics & Science team drives user growth, active use and retention and works to improve customer experiences using insights across product, customer success, marketing, and sales for the Small Business & Self Employed Group (i.e. Intuit QuickBooks). We are an exciting, growing and fun team that works with industry-leading analytics tools, techniques and best practices.

The RoleWe are seeking a Senior Data Scientist who will partner closely with product management, data engineering, marketing and other data scientists to drive and execute across boundaries using data-driven practices. As a senior member of the data science team, you will have a strong track record of combining advanced analytics skills, knowledge of customer care and/or product analytics and exceptional analytical acumen to quantify and prioritize business opportunities, propose customized actions and changes, plan and execute experiments as well as create dashboards and reporting to measure business impact of associated actions.


  • Thought-partner with business stakeholders. Suggest appropriate analysis, ideas and data points to help drive business decisions

  • Partner with leadership and business stakeholders to prioritize areas of opportunity to drive growth and improved customer product usage and retention

  • Owns and executes analytics problems end-to-end. Translates business requirements into a roadmap with key milestones and deliverables

  • Leads junior data scientists on analytical initiatives of moderate complexity, developing tracking, combining data from multiple sources to extract meaning, reconcile assumptions, and identify logical path for action

  • Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to improve and communicate the necessary information to key partners

  • Partner with cross-functional teams including Customer Care, Product, Marketing, Engineering, Finance, Analytics and Data Science to design and build tools to improve upon the product experience

  • Democratize data by building and socializing decision tools (dashboards, reports); build key data sets/pipelines to empower operational and exploratory analysis

  • Provide insights to the leadership team on impact of strategic initiatives on the key metrics


  • 5+ years of experience in generating and presenting insights from marketing/product/customer care data; experience in advanced analytics and optimization a plus!

  • Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms

  • Outstanding communication skills with the ability to influence decision makers and build consensus with teams

  • Experience with customer behavioral analytics and knowledge of customer care analytics is a plus!

  • Domain expertise in subjects such as experimental design and Multivariate/A-B testing.

  • Advanced SQL skills to perform data segmentation and aggregation from scratch; experience working with granular web clickstream data and behavior tracking tools like SiteCatalyst

  • Experienced in programming languages and stats packages (e.g. python, R); comfortable running multiple regression analyses

  • Advanced degree in Mathematics, Statistics, Finance, Economics, Business or a related field. PhD in a related field a plus

  • Love mentoring and guiding others. Passionate about the advancement of whole team

Intuit is an equal opportunity and affirmative action employer. We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. If you’d like more information about your EEO rights as an applicant, please click here Intuit is committed to diversity in the workplace and strives to support candidates with disabilities. We provide reasonable accommodation to known physical or mental limitations of otherwise qualified employees or applicants for employment, including providing alternative methods of applying for employment for individuals unable to submit an application through this site because of a disability. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please talk with your recruiter or email