Lead Data Scientist: Advanced Recommenders & Personalization

Capital One; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking a Manager, Data Scientist to lead advanced recommender and personalization systems. The role centers on transformers, LLMs, and reinforcement learning across billions of customer records to drive personalized experiences in marketing, servicing, and digital products.

You will collaborate with engineering and product teams to deploy scalable, production-grade systems and to push innovations in generative recommendations and cross-domain personalization.

Qualifications

• Bachelor’s degree in a quantitative field plus 6 years of data analytics experience.
• Master’s degree (or MBA with quantitative concentration) plus 4 years of data analytics.
• PhD in a quantitative field plus 1 year of data analytics experience.
• At least 1 year of experience with open-source programming languages for large-scale data analysis.
• At least 1 year of experience working with machine learning.
• At least 1 year of experience utilizing relational databases.

Responsibilities

• Design and develop state-of-the-art recommender systems using transformers, LLMs, and reinforcement learning.
• Advance personalization through sequence modeling, multi-modal learning, and contextual decision-making.
• Build and fine-tune foundation models trained on large-scale customer data.
• Apply reinforcement learning to optimize long-term user engagement and business outcomes.
• Build evaluation frameworks to measure campaign and system efficacy.
• Collaborate with engineering and product teams to deploy scalable, low-latency systems.
• Drive innovation in generative recommendations and cross-domain personalization.

Skills

Python

SQL

Machine learning

Deep learning

Recommender systems

Transformers

LLMs

Reinforcement learning

Data analysis

Open-source tools

Education

Bachelor’s Degree in a quantitative field

Master’s Degree in a quantitative field or MBA with quantitative concentration

PhD in a quantitative field

Tools

AWS

PyTorch

TensorFlow

Spark

Job description

Capital One is seeking a Manager, Data Scientist to lead advanced recommender and personalization systems. The role centers on transformers, LLMs, and reinforcement learning across billions of customer records to drive personalized experiences in marketing, servicing, and digital products.

You will collaborate with engineering and product teams to deploy scalable, production-grade systems and to push innovations in generative recommendations and cross-domain personalization.