Principal Data Scientist – Personalization & Recommendations

Capital One; New York (NY); On-site; USD 176,500 - 201,400; Full time

Job summary

Capital One is seeking a Principal Data Scientist for Recommendation & Personalization Systems to advance personalized offers across web and mobile platforms. You’ll lead ML-driven personalization at scale, collaborating with data scientists, software engineers, and product managers to ship impactful models.

The role emphasizes cutting‑edge foundation models, transformer architectures, and causal inference, with opportunities to impact billions of interactions.

Qualifications

• Bachelor’s degree in a quantitative field with 5 years of data analytics experience, or Master’s/ MBA with 3 years, or PhD in a quantitative field.
• Experience with data analytics and expanding data science capabilities.
• Experience building production ML models and applying ML at scale.

Responsibilities

• Collaborate with cross‑functional teams to deliver customer‑facing ML products.
• Develop and deploy ML models through all stages from design to production.
• Translate complex modeling concepts into business impact for stakeholders.
• Work with data engineers to access and prepare large datasets.

Skills

Python

AWS

SQL

Spark

H2O

Conda

Transformer models

Education

Bachelor’s Degree with 5 years analytics

Master’s Degree or MBA with quantitative concentration +3 years analytics

PhD in quantitative field

Tools

None

Job description

Capital One is seeking a Principal Data Scientist for Recommendation & Personalization Systems to advance personalized offers across web and mobile platforms. You’ll lead ML-driven personalization at scale, collaborating with data scientists, software engineers, and product managers to ship impactful models.

The role emphasizes cutting‑edge foundation models, transformer architectures, and causal inference, with opportunities to impact billions of interactions.