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Machine learning

About the job

Intuit Credit Karma is looking for a results-oriented and strategically minded Manager 2, AI Science who is passionate about applying machine learning to solve financial problems for our millions of members, can effectively manage and scale AI scientists to drive AI-powered recommendations that help our members to achieve their financial goals, while building the data foundations and partnering in improving our data stack and ML lifecycle. Data Science plays a ubiquitous role in Credit Karma’s product, serving as the foundation for core machine learning capabilities that drive monetization, personalization, and a value-centric experience for our members. As such, this role is highly cross-functional and requires tight partnerships with a wide range of functions - including engineering, product, marketing, finance and analytics.

We are looking for a AI Science lead a team of scientists and drive innovation in the development and application of data science techniques powering most relevant financial products and actionable financial recommendations in Credit Karma, while setting the vision and strategy to create the thinking, systems, and processes to advance our business through Data Foundation, Data Science, and ML lifecycle. The ideal candidate has a proven track record of building and scaling AI-powered recommendation platform strategies. They will possess exceptional leadership skills, capable of effectively collaborating with senior executives and navigating competing priorities in a fast-paced, high-pressure environment with poise and agility.

Responsibilities

What you’ll do:

Inspire, lead, and grow a team of data scientists to achieve our longer term vision

Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritize longer term goals

Shape the short and long-term technical vision and strategy for current and new ML capabilities to drive revenue, member engagement and member value at scale

Partner with Engineering, Product, Marketing and cross-functional teams to inform, influence, support, and execute strategy and the roadmap for the existing and emerging AI space at Credit Karma

Develop understanding of large scale AI systems, their operational maturity, as well as broader industry challenges, to identify present and future risks and opportunities

Exhibit intellectual curiosity, intrinsic drive, decisiveness, and resilience with ambiguity and complexity

Qualifications

Minimum Basic Requirement:

MS / PhD in a quantitative discipline (e.g., engineering, machine learning, data science, operations research, economics) with 8+ years experience

4+ years of management experience. Experience managing managers is a bonus.

Ability to communicate & discuss low-level technical topics as well as high-level strategies

Experience with working cross-functionally and with multiple stakeholders, including Engineering, Product, Marketing, Analytics and Finance at mid- or large-scale companies

Strong communication skills

Results-oriented with a strong member and business focus

Ability to provide structure and tackle ambiguous and undefined problems

Preferred Qualifications:

Experience with driving monetization, member engagement, longer term member value through AI

Experience working on large scale AI systems with applications across machine learning and generative AI, AI infrastructure, data foundation, and self-serve analytics through DS methods

Ability to balance fast paced environments at a large scale company

Ads business and product experience

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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. The expected base pay range for this position is: Oakland $237,500 - $321,500 Mountain View, CA $237,500- $321,500