Staff Data Scientist
Apply NowCompany: Intuit Inc
Location: San Diego, CA 92154
Description:
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 (CG) 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 Analytics team, you will be in a highly influential position to inform product strategy and drive maximum business results.
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.
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.