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Manager 2, Data Science

Category Data Location San Diego, California Job ID 2025-70094
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

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
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Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is Southern California $179,000.00 - 242,000. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst

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