Staff Data Scientist

Overview

Intuit is currently seeking a passionate and data-driven individual to join the Intuit Business Operations Analytics and Data Science team. As a Staff Data Scientist, you will play a crucial role in transforming our organization through the power of data and AI. The successful candidate will be responsible for building a scalable AI ready data foundation and AI capabilities that provide deeper insights across company level data sets and dashboards to the executive leaders. You’ll partner closely with data engineers, software engineers, product managers and architects to mature data and AI capabilities for Intuit Business Operations.

In this position, you will develop a deep understanding of business challenges, performing company-level analyses, developing executive dashboards and building AI capabilities for faster insights generation and proactive business anomaly notifications to enable effective decision-making and problem-solving. This role presents a unique combination of business operations, data analytics, AI and data science, requiring someone who is a fast learner, highly analytical, strategic, and excellent communicator. This role is for someone who thrives in ambiguity, leads independently, and builds systems that scale across teams and business units.

 We are looking for a strategic problem-solver with a track record of using data and AI to deliver successful business outcomes. The ideal candidate can independently manage their own data, identify and measure business and growth drivers, establish data governance and quality processes and contribute towards building scalable data foundation, build compelling visualizations and AI assisted insights generation to a broader audience.

Responsibilities

Responsibilities

• Build data and AI capabilities in partnership with Engineering teams to analyze data from multiple sources to identify trends, provide insights, enable driver analysis and support decision-making.

• Understand business requirements, perform data discovery and build analytics solutions (data pipelines, datasets and dashboards) aligned with business needs.