Staff Data Scientist

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

Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 130 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 Bangalore, Oakland, Charlotte, Culver City, San Diego, London and New York City.

About the team and the role: 

Intuit Credit Karma seeks a visionary Staff Data Scientist 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. 

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.

What you’ll do:

• 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
• 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

Minimum Requirement:

• MS/PhD in a quantitative discipline (e.g., computer science, machine learning, data science, engineering) with 10+ years of experience in data science, software engineering, or data architecture
• Excellent communication skills with both technical and non-technical audiences, with the ability to collaborate with cross-functional teams and drive innovation
• Proven track record of designing and implementing large-scale machine learning systems, with expertise in scaling AI-powered solutions
• Ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating latest advancements (e.g., GenAI)
• Deep understanding of current ML systems and the ability to evolve them into cutting-edge, innovative, and scalable solutions
• Strong background in programming languages (e.g., Python, Java, C++)
• Strong understanding of operational maturity, industry challenges, and future risks and opportunities in large-scale AI systems

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

Equal Employment Opportunity:

Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws. 

Credit Karma is also  committed to a diverse and inclusive work environment because it is the right thing to do. We believe that such an environment advances long-term professional growth, creates a robust business, and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. We’ve worked hard to build an intensely collaborative and creative environment, a diverse and inclusive employee culture, and the opportunity for professional growth. As part of the Credit Karma team, your voice will be heard, your contributions will matter, and your unique background and experiences will be celebrated.

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