Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we’re best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.

• Banking services provided by MVB Bank, Inc., Member FDIC

Credit Karma seeks a visionary Staff Data Scientist II who will revolutionize our recommendation engine in ad technology by harnessing the latest advancements in machine learning and GenAI. As a technical leader and mentor, you will drive the development of next-generation AI-powered monetization strategies, collaborating and communicating with leadership across all lines of business, including their respective engineering, product, partnerships, and analytics teams.
With a strong background in data science and machine learning paired with excellent communication skills, you will architect and implement scalable solutions w/ cross-team alignment that create the best ML-driven experiences for our members, propelling lifetime value and revenue growth for the company and partners. Your expertise will directly impact the direction of data science in facilitating business growth and will influence company-wide strategies - fostering a culture of innovation and operational excellence. You will stay ahead of industry trends, integrating cutting-edge techniques into our tech stack, and mentor team members to achieve exceptional results. Your unique blend of technical acumen, leadership, strategic thinking, and communication skills will make you a driving force in shaping Credit Karma’s future.

PREFERRED QUALIFICATIONS:

• Ad technology and product expertise
• Experience with driving monetization through AI
• Expertise developing GenAI capabilities and supporting tools and infrastructure
• Ability to balance fast paced environments at a large scale company

• Collaborate with Engineering, Product, and cross-functional teams to architect and implement cutting edge machine learning systems at scale, driving technical strategy and roadmap for AI capabilities
• Present and drive alignment w/ Senior Leadership across all lines of business on ad technology innovations
• Define and execute the technical vision for current and future ML capabilities as it relates to ad recommendations, with a focus on GenAI and Agentic systems
• Design and develop large-scale AI systems, leveraging expertise to evolve current systems and create competitive advantages in ad tech
• Stay ahead of industry trends and challenges, identifying opportunities and risks to inform technical decisions and drive innovation
• Provide technical guidance, mentoring, and oversight to data scientists and engineers, promoting best practices and knowledge sharing
• Exhibit intellectual curiosity, intrinsic drive, decisiveness, and resilience in navigating technical ambiguity and complexity