Senior AI/ML Scientist

Experian • California, CA

4d • Remote

About The Position

Experian is looking for a Senior Data Scientist to join our Global Analytics team within Experian Software Solutions. This is an exciting opportunity for someone to work on impactful AI and machine learning projects, contribute to solutions, and grow alongside experienced scientists and engineers. You will help build and support machine learning models and AI systems that power Experian's products and services. You will work remotely and report to the Senior Director of Analytics and AI. You'll have opportunity to: Architect and implement a closed-loop learning system integrating synthetic data generation, automated pattern discovery, and scenario-based stress testing Develop GenAI-powered data mining algorithms to identify latent structures, cross-domain patterns, and evolving risk signals across credit, transactional, and fraud datasets. Lead bias diagnosis and counterfactual testing to ensure fairness and regulatory compliance under stress scenarios. Collaborate with risk, compliance, and fraud teams to align AI-driven insights with business objectives and regulatory standards. Create dynamic segmentation models that evolve with customer states and macroeconomic conditions. Stay current with advancements in AI/ML and proactively integrate emerging technologies into Experian's solutions

Requirements

• 7+ years of experience in AI/ML, with hands-on expertise in building, deploying and monitoring models at scale
• Strong knowledge of modern language models (Transformers, GPT APIs, SLMs, RLHF), and agent-based architectures
• Proficiency in Python, TensorFlow, PyTorch, and colud-based ML platform
• Advanced degree (MS or PhD) in computer science, AL/ML or related field
• Experience with machine learning algorithms and processes (such as xgboost, GANs, Clustering, Graph Algorithms, Reinforcement Learning)

Responsibilities

• Architect and implement a closed-loop learning system integrating synthetic data generation, automated pattern discovery, and scenario-based stress testing
• Develop GenAI-powered data mining algorithms to identify latent structures, cross-domain patterns, and evolving risk signals across credit, transactional, and fraud datasets.
• Lead bias diagnosis and counterfactual testing to ensure fairness and regulatory compliance under stress scenarios.
• Collaborate with risk, compliance, and fraud teams to align AI-driven insights with business objectives and regulatory standards.
• Create dynamic segmentation models that evolve with customer states and macroeconomic conditions.
• Stay current with advancements in AI/ML and proactively integrate emerging technologies into Experian's solutions

Benefits

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree