Intuit's Tech Strategic Programs organization aims to transform and drive how the Technology ecosystem operates to accelerate outcomes for customers. The Staff Data Scientist will deliver insights to senior leaders within Technology organizations to enable faster decisions, increase execution velocity, and drive predictive actions.
Requirements
- Demonstrate ability to turn business strategy into business problems, iteratively self-generate hypothesis using data, validate or disprove hypothesis to create actionable insights and recommendations that inform decision making
- Understands the technical architecture powering AI-native experiences (e.g.: GenOS) and the various technology capabilities (e.g. GenOrchestrator, LLMs, GenStudio).
- Able to identify implications to data, analysis methods and customer behaviors because of these architectural constructs
- Develops a learning plan by connecting model performance metrics with customer and business metrics.
- Advanced knowledge of data preparation, analysis and modeling using Generative AI tools, data and programming tools (SQL/Python/R) , and data workflow management (authoring, scheduling and monitoring) tools
- Advanced knowledge of designing complex web experiments (A/B/n, painted-door, bandits etc.) and measure their impact using descriptive and inferential statistical methods.
- Have proficiency in SQL, data visualization tools (Qlik, Tableau, QuickSight), scripting languages (Python, R) and code deployment, change management and collaboration technologies and frameworks (GIT, Jenkins, CICD).
Responsibilities
- Use advanced analytics techniques and predictive analytics in developing insights and analyses
- Develop data capabilities, self-service capabilities, and analytical capabilities to streamline and automate the analytical processes
- Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist.
- Develop statistical model/anomaly detection and investigate anomalies to monitor and help prevent the potential risk/issue in business.
- Analyze large, complex datasets, create and maintain clean data standards to ensure accuracy of both data and for teams to leverage.
- Develop analytical tools and programs to unlock data as an asset
- Have proficiency in SQL, data visualization tools (Qlik, Tableau, QuickSight), scripting languages (Python, R) and code deployment, change management and collaboration technologies and frameworks (GIT, Jenkins, CICD).
Other
- Strategic Thinking & Business Acumen
- Understands the business strategy and able to drive business case development independently for multiple initiatives using data and strategic thought leadership
- Able to develop complex learning plans that account for different outcome-based scenarios and provide thought leadership on alternative paths
- Combine insights, business acumen and strategic considerations to influence cross-functional leaders (e.g.: Directors+)
- Need strong data storytelling skills, with the ability to construct impactful visualizations, communicate insights, and influence leadership.
