Credit Karma

About the Company

Credit Karma is focused on championing financial progress for more than 130 million members in the U.S., Canada and U.K. While we're best known for pioneering free credit scores, our members turn to us for resources as they work toward their financial goals. This includes tools for credit and identity monitoring, credit card recommendations, shopping for loans (car, home and personal), and growing their savings* -- all for free. We've grown significantly through the years, adding more than 70 million members in the last five alone. We currently have more than 1,300 employees spread across offices in San Francisco, Charlotte, Los Angeles, Leeds, London and one coming soon to Oakland.

Disrupting the financial industry is not an easy task. That's why we know it's one worth doing. Our core values of helpfulness, ownership, progress and empathy guide our work and our relationships.

Championing financial progress for everyone is a big mission that requires passionate people working together to make a difference in the world. If you're up for the task, we'd love to have you on our team. Check out our open positions: https://www.creditkarma.com/careers.

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

Listed Jobs

Company Name

Credit Karma

Job Title

Senior Data Scientist

Job Description

Job Title: Senior Data Scientist Role Summary: Lead data science initiatives to develop AI-powered solutions for financial products. Collaborate cross‑functionally with engineering, product, marketing, finance, and analytics teams to identify high‑impact opportunities, accelerate revenue and engagement, and deliver personalized, data‑driven recommendations to members. Drive research and implementation of cutting‑edge techniques such as GenAI, deep learning, recommender systems, and advanced statistical modeling. Expectations: - Partner with stakeholders to define business metrics and design experiments, providing statistical expertise. - Translate complex technical concepts into clear business insights for product and executive leadership. - Represent the data science team in internal and external forums, acting as an evangelist for the organization. - Maintain ownership of large‑scale machine learning pipelines, ensuring scalability, reliability, and ethical considerations. Key Responsibilities: - Identify and prioritize high‑impact data science opportunities across the product portfolio. - Design and deploy advanced predictive models for targeting, recommendation, personalization, and monetization. - Engineer features from user behavior and profile data to enhance model performance. - Conduct experimentation and A/B testing, establishing robust statistical baselines. - Collaborate with AI infrastructure teams to scale models, including generative AI solutions. - Mentor and guide junior data scientists, fostering a culture of innovation and continuous improvement. Required Skills: - 5+ years of industry experience in data science/ML, preferably in high‑growth consumer internet environments. - Deep statistical expertise (e.g., mixed‑effects models, time series, matrix factorization, collaborative filtering). - Proficiency in Python or R, SQL, and large‑scale data processing tools. - Experience with deep neural networks, the transformer architecture, or similar advanced modeling techniques. - Strong experiment design and hypothesis testing skills. - Excellent communication and stakeholder management abilities. Required Education & Certifications: - Master’s degree in Computer Science, Mathematics, Statistics, Physics, or a closely related quantitative field.

Oakland, United states

Hybrid

Senior

23-11-2025