Job Description

**Overview** **Overview** Do you have a passion for using data to drive business strategies and optimize performance? Do you want a role that exposes you to bleeding-edge technologies? Intuit's Consumer Group has an exciting opportunity for a best-in-class, data-driven leader in the TurboTax Product Analytics organization. As a Staff Data Scientist in the Full Service Data Science team, you will be in a highly influential position to inform product strategy and drive maximum business results. **Responsibilities** **Responsibilities** + Perform hands-on data analysis and modeling to derive meaningful conclusions and solve complex problems. Extract insights and knowledge from structured and unstructured data using various techniques, including statistical analysis, machine learning, and data visualization in service to driving business decisions. + Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of product experiences, and communicate results to peers and leaders to measure and optimize execution of data-driven strategies in emerging areas of the TurboTax Full Service roadmap. + Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques, etc., to establish causality and measure product performance. + Manage data integration and engineering with the Product platform for data hygiene. + Provide guidance and support to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals in the standardization of reporting and strategy. + Drive strategic thinking and cross-functional alignment around data-driven approaches to optimizing the TurboTax Full Service conversion funnel. + Draft whitepapers to summarize complex Analytics concepts with clearly outlined principles and data-backed research. + Influence the team's roadmap by sharing findings with the rest of the company and driving and verifying change in our marketing channel spend. + Mentor junior analysts to raise the bar across the Analytics organization. **Qualifications** **Qualifications** + 7-10 years of experience working in web, product, marketing, or other related analytics fields, ideally with exposure to ... Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations. + Proven ability to apply scientific methods to solve real-world problems on web-scale data. + Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions. + Advanced proficiency in SQL, Tableau, and Excel, with expertise in modern advanced analytical tools and programming languages such as Python. + Experience in defining metrics and instrumenting data tracking in clickstream. + Excellent problem-solving skills and end-to-end quantitative thinking. + Ability to manage multiple projects simultaneously to meet objectives and key deadlines. + A great storyteller and communicator who can build relationships with a diverse set of stakeholders, including both technical and non-technical colleagues. + MS in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent work experience is preferred. 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 ( ). 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.

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