Staff AI Scientist - Credit Karma

About the role

As a Staff AI Scientist at Credit Karma, you will be responsible for driving data-informed decisions and delivering AI-powered recommendation and monetization strategies that help our members achieve their financial goals. This role requires extensive cross-functional collaboration and close partnerships across various departments, including engineering, product, marketing, finance, and analytics.

Responsibilities

- Partner with colleagues throughout the organization to identify high-impact opportunities to leverage our extensive data to better serve our users. - Responsible for accelerating revenue and engagement advancement through disruptive and continuous improvements in various machine learning models (targeting, marketing campaigns, etc.), feature engineering including user profiles and behavior, personalization, etc. - Participate in research efforts with other team members to explore the frontiers of GenAI, Deep Learning, Recommender systems, and other areas, as they apply to Personal Finance. - Collaborate closely with partner teams to define metrics that quantify various aspects of our business, including but not limited to revenue, engagement, user experience, etc. Provide solid statistical bases in designing experiments. - Represent Data Science in cross-functional meetings and reviews. Be able to translate difficult technical subject matter to business partners. - Represent Credit Karma in external forums such as conferences and meetups, and act as an evangelist for CK team in such forums. - Work with large scale Machine Learning Models to optimize for Personal Finance Products. - Work with a highly impactful team, who are working on large scale projects that directly impact the business and members. - Encourage personal and professional growth as you encourage growth throughout the team.

Qualifications

- MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline. - 7+ years of industrial experience in Data Science, Machine Learning and related areas, ideally in hyper-growth consumer Internet scenarios. - Deep statistical understanding and ability to architect and develop next-generation ML systems, staying ahead of industry trends and integrating latest advancements (e.g., GenAI). - Strong background in programming languages (e.g., Python, Java, SQL).

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.