Intuit

Job Overview

Intuit is looking for an experienced and highly motivated Data Science Manager 2 to join the Consumer Group Finance team. This person will lead a team that manages, develops and integrates AI and other data tools & technologies into key financial processes like forecasting and reporting.

The ideal candidate will have a strong background in data science, business analytics and automation, be able to communicate effectively with stakeholders, and have a passion for managing and implementing mission-critical data solutions.

Responsibilities

• Lead a team that builds and deploys modern machine learning and AI models in support of financial forecasting accuracy, financial insights, and efficiency gains for core financial processes.
• Analyze large and complex datasets to extract insights and identify key features that will inform the development of AI models; be involved in the end-to-end pipeline from data collection to model input.
• In partnership with financial analysts, maintain and refresh models over time, iteratively improve the models, draw conclusions on the impact of your models, and communicate results to peers and leaders.
• Explore new technology shifts to determine how they might connect with the core financial processes.
• Hire, train and mentor your data scientist / analyst team, while ensuring they stay up to date with industry standards, technology, and best practices.
• Maintain data integrity, confidentiality, and availability by strictly adhering to data stewardship principles and guidelines.
• Manage complex processes and ambiguous situations while collaborating with multiple individuals and teams
• Communicate effectively in both verbal and written form with TurboTax business partners

Qualifications

To be successful in this role, the candidate must be/have:

• 7+ years of industry experience in data science and 2+ years of leading a data science, analytics or technology team
• BS, MS, or PhD in Statistics, Mathematics, Computer Science or equivalent.
• Experience with modern data science tools and programming languages, machine learning techniques and AI applications.
• Efficient in handling large-scale datasets and proficient in using data manipulation tools and databases (SQL, NoSQL).
• Experience with modern data visualization and reporting tools such as Qlik Sense, Tableau, Power BI, etc.
• High degree of organization, individual initiative, intellectual curiosity, personal accountability, and a commitment to driving results in a fast-paced environment while managing multiple priorities simultaneously
• Well-rounded interpersonal skills with the capacity to build strong relationships and collaborate across multiple stakeholders at varying levels
• Ability to effectively communicate, telling stories with data, instilling confidence, educating, and motivating stakeholders to act on recommendations