Manager 2, Data Science

Intuit, a leading global financial technology platform serving approximately 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, is seeking a Senior Manager for their Data Science team. This role presents an exceptional opportunity to join Intuit's AI team and make a significant impact on their technology infrastructure.

The position offers a competitive compensation package ranging from $197,500 to $267,000, reflecting Intuit's commitment to attracting top talent in the field. As a Senior Manager, you'll lead and mentor a team of data scientists while working on cutting-edge AI and machine learning initiatives that directly affect hundreds of thousands of customers.

The ideal candidate will bring at least 2 years of technical leadership experience in data science, along with a strong educational background in fields such as Computer Science, Statistics, or Applied Mathematics. You'll be responsible for applying sophisticated AI and machine learning techniques to solve complex business challenges and drive innovation across Intuit's product suite.

This role offers the chance to work with diverse data types at scale, developing and implementing advanced predictive models and statistical analyses. You'll collaborate with business stakeholders to translate complex data insights into actionable strategies, while also providing technical leadership across multiple teams.

The position is based in Mountain View, California, placing you at the heart of Silicon Valley's tech ecosystem. You'll be part of a collaborative and creative group of data scientists and machine learning engineers, working on projects that have direct impact on Intuit's global customer base.

What makes this role particularly exciting is the opportunity to shape the future of financial technology through AI innovation. You'll be working with a company that values technical excellence, innovation, and has a strong commitment to customer success. The role combines technical leadership, strategic thinking, and hands-on data science work, making it ideal for someone who enjoys both technical challenges and leadership responsibilities.

If you're passionate about applying machine learning to real-world problems, thrive in ambiguous environments, and want to be part of a company that's transforming financial services through technology, this role offers the perfect platform to do the best work of your life.