AI Scientist (Fintech)

TL;DR

AI Scientist (Fintech): Driving data-informed decisions and delivering AI-powered recommendation and monetization strategies that help Credit Karma members achieve their financial goals with an accent on machine learning models, feature engineering, and personalization. Focus on developing and applying AI techniques to power relevant financial products and actionable recommendations.

Location: Oakland, California

Salary: $205,500-$278,000

Company

hirify.global is the global financial technology platform that powers prosperity for the people and communities we serve.

What you will do

• Identify high-impact opportunities to leverage data to better serve users.
• Accelerate revenue and engagement through improvements in machine learning models, feature engineering, and personalization.
• Participate in research efforts to explore GenAI, Deep Learning, and Recommender systems.
• Define metrics to quantify aspects of the business, including revenue, engagement, and user experience.
• Represent Data Science in cross-functional meetings and reviews.
• Optimize for Personal Finance Products using large-scale Machine Learning Models.

Requirements

• 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.
• Deep statistical understanding and ability to architect and develop next-generation ML systems.
• Strong background in programming languages (e.g., Python, Java, SQL).

Nice to have

• Experience with driving monetization, member engagement, and longer-term member value through AI.
• Experience working on large-scale AI systems with applications across machine learning and generative AI.
• Ability to balance fast-paced environments at a large-scale company.
• Ads business and product experience.

Culture & Benefits

• Competitive compensation package with a strong pay-for-performance rewards approach.
• Eligible for a cash bonus, equity rewards, and benefits.
• Regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.
• Opportunity for both personal and professional growth.