Lead Data Scientist, Fraud ML – SBB Team

ITSMF; McLean (VA); Presencial; USD 162.000 - 185.000; Jornada completa

Descripción de la vacante

Capital One is seeking a Principal Associate, Data Scientist - SBB Fraud, to lead end-to-end fraud modeling across large datasets. You will collaborate with data scientists, software engineers, and product managers to build and deploy models that protect customers and enable data-driven decisions.

The role emphasizes statistical rigor, cloud expertise, and translating complex analyses into measurable business impact.

Formación

• Quantitative degree with analytics experience required.
• Experience building, validating, and backtesting models.
• Strong data retrieval from diverse sources and cloud computing exposure.

Responsabilidades

• Partner with cross-functional teams to deliver data products.
• Build ML models through design, training, evaluation, and deployment.
• Translate complex analyses into business insights and actions.
• Collaborate with software engineers and product managers.

Conocimientos

Statistical modeling

Machine learning

Time series

Clustering

Classification

Sentiment analysis

Deep learning

Data retrieval

Data analysis

Open-source tools

Educación

Bachelor's degree in a quantitative field

Master's degree or MBA with quantitative focus

PhD in a quantitative field

Herramientas

Python

Conda

AWS

H2O

Spark

Descripción del empleo

Capital One is seeking a Principal Associate, Data Scientist - SBB Fraud, to lead end-to-end fraud modeling across large datasets. You will collaborate with data scientists, software engineers, and product managers to build and deploy models that protect customers and enable data-driven decisions.

The role emphasizes statistical rigor, cloud expertise, and translating complex analyses into measurable business impact.